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Surface Normal Overlap: A Computer-Aided Detection Algorithm With Application to Colonic Polyps and Lung Nodules in Helical CT

D.S. Paik, C.F. Beaulieu, G.D. Rubin, B. Acar, R.B. Jeffrey, J. Yee, J. Dey, S. Napel
<span title="">2004</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yhnt2pif75h2bmnnmdg7m6nlc4" style="color: black;">IEEE Transactions on Medical Imaging</a> </i> &nbsp;
We developed a novel computer-aided detection (CAD) algorithm called the surface normal overlap method that we applied to colonic polyp detection and lung nodule detection in helical computed tomography  ...  (CT) images.  ...  Pineda, and the members of the 3-D Medical Imaging Laboratory in the Department of Radiology at Stanford University for helpful discussions.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2004.826362">doi:10.1109/tmi.2004.826362</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15191141">pmid:15191141</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nqwcmbuqijfbbo7jbgeyignauq">fatcat:nqwcmbuqijfbbo7jbgeyignauq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829014930/http://otl.stanford.edu/01-075/IEEE_Trans_Med_Imaging.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/bd/0e/bd0ea0021dfbba3e3c051446da767b270b15f948.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tmi.2004.826362"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Computer-Aided Diagnosis for Early-Stage Lung Cancer Based on Longitudinal and Balanced Data

Tao Sun, Regina Zhang, Jingjing Wang, Xia Li, Xiuhua Guo, Michael Gormley
<span title="2013-05-15">2013</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
This scheme can be used as an auxiliary tool to differentiate between benign and malignant early-stage lung cancers in CT images.  ...  Based on Curvelet-transformation textural features and other features, the SVM prediction model had good classification performance for early-stage lung cancer, with an area under the curve of the SVMs  ...  [4] extracted morphological, surface and texture features from 256 lung nodules, and established a linear discriminant analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0063559">doi:10.1371/journal.pone.0063559</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23691066">pmid:23691066</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3655169/">pmcid:PMC3655169</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/id2kzk4oo5bd5palgg7zabeagq">fatcat:id2kzk4oo5bd5palgg7zabeagq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171007024539/http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0063559&amp;type=printable" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/11/1d/111d18594059bd39c5bfe9552bd9d244cdb8278d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0063559"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655169" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Extraction algorithm of pulmonary fissures from thin-section CT images based on linear feature detector method

M. Kubo, N. Niki, S. Nakagawa, K. Eguchi, M. Kaneko, N. Moriyama, H. Omatsu, R. Kakinuma, N. Yamaguchi
<span title="">1999</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/irkebyewo5dzlfovel4fhqmk34" style="color: black;">IEEE Transactions on Nuclear Science</a> </i> &nbsp;
These fissures are used for the analysis of pulmonary conformation and the diagnosis of lung cancer. This algorithm consists mainly of the correction and the emphasis of a 2-D linear shadow.  ...  The results showed that major and minor fissures can be extracted by the proposed algorithm, without reference to streak artifacts on axial CT images by the beam hardening effect, and the motion artifacts  ...  Step 1 is the screening using x-ray radiography or computed tomography (CT) images which make radiographs of the whole lung region based on the elderly health law [ 1, 2] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/23.819294">doi:10.1109/23.819294</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/safuvp7lyvedbou4gu6n4xfz64">fatcat:safuvp7lyvedbou4gu6n4xfz64</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140616111348/http://www.via.cornell.edu/courses/ece578/project/2008/g06/paper3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a4/b0/a4b04732312ce1f594375c9cdb9dd64d3f37c4f4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/23.819294"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Detection of Lung Cancer Using Digital Image Processing Techniques: A Comparative Study

Munimanda Prem Chander
<span title="">2017</span> <i title="Science Publishing Group"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3h6zyhhfrraoro7fzudghajt6a" style="color: black;">International Journal of Medical Imaging</a> </i> &nbsp;
One of the techniques is content based image retrieval Computer Aided Diagnosis System (CAD) for early detection of lung nodules from the Chest Computer Tomography (CT) images.  ...  The MATLAB image processing toolbox based implementation is done on the CT lung images and the classifications of these images are carried out.  ...  David S et. al [6] developed CAD algorithm to detect lung nodule and polyp detection using CAD normal surface overlap method in helical Computed Tomography (CT) images. Jyh-Shyan et. al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11648/j.ijmi.20170505.12">doi:10.11648/j.ijmi.20170505.12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/z43ewyzlcnawnbeozzobufaag4">fatcat:z43ewyzlcnawnbeozzobufaag4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719001740/http://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20170505.12.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/89/56/8956f8e8229f5883301400058cd13def45d3fdc2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11648/j.ijmi.20170505.12"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Spectral CT imaging parameters and Ki-67 labeling index in lung adenocarcinoma

Mailin Chen, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China, Xiaoting Li, Yiyuan Wei, Liping Qi, Ying-Shi Sun
<span title="">2020</span> <i title="Chinese Journal of Cancer Research"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jwc77336zzeblnhdmhtf23m5ra" style="color: black;">Chinese Journal of Cancer Research</a> </i> &nbsp;
One-way analysis of variance (ANOVA) was used to compare the four different grades, and the Bonferroni method was used to correct the P value for multiple comparisons.  ...  /λHUv) and monochromatic CT number enhancement on 40 keV and 70 keV images (CT40keVa/v, CT70keVa/v)] in 34 lung adenocarcinomas were analyzed, and common molecular markers, including the Ki-67 labeling  ...  Spectral CT imaging as a new quantitative tool is used to assess the perfusion of pulmonary parenchyma in patients with lung cancer (20) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21147/j.issn.1000-9604.2020.01.11">doi:10.21147/j.issn.1000-9604.2020.01.11</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32194309">pmid:32194309</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7072011/">pmcid:PMC7072011</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k2jgzxa3yzcn3djimgai3nqwwm">fatcat:k2jgzxa3yzcn3djimgai3nqwwm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507010115/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7072011&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/96/66/96669c875751f9cf31f401c0c9a4adf4930e0dc9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21147/j.issn.1000-9604.2020.01.11"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7072011" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Development of a diagnostic model for malignant solitary pulmonary nodules based on radiomics features

Wei Zhao, Chenxi Zou, Chunsun Li, Jie Li, Zirui Wang, Liang'an Chen
<span title="">2021</span> <i title="AME Publishing Company"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u5ioqxxruvelzolwnumjlphsfe" style="color: black;">Annals of Translational Medicine</a> </i> &nbsp;
The quantitative image features and radiomic information of the SPNs were provided using computer-aided detection (CAD) "digital lung" software.  ...  This model can be used to identify objective and quantifiable image features and guide the clinical treatment strategy adopted for SPNs.  ...  Lung cancer mainly presents as solitary pulmonary nodules (SPNs) in the early stage. Thus, the accurate diagnosis of SPNs is important to detect lung cancer early.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21037/atm-22-462">doi:10.21037/atm-22-462</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35280381">pmid:35280381</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8908141/">pmcid:PMC8908141</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lkar4kfhvra23f7hljpe5npi4i">fatcat:lkar4kfhvra23f7hljpe5npi4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220515015954/https://atm.amegroups.com/article/viewFile/90114/pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/52/2a/522a7bea00a0ac0c1d64a937f5fddda3b85bf571.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21037/atm-22-462"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8908141" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies

Ayman El-Baz, Garth M. Beache, Georgy Gimel'farb, Kenji Suzuki, Kazunori Okada, Ahmed Elnakib, Ahmed Soliman, Behnoush Abdollahi
<span title="">2013</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/a5p2e7p4xfg23hvv3wca3cde5u" style="color: black;">International Journal of Biomedical Imaging</a> </i> &nbsp;
A typical CAD system for lung cancer diagnosis is composed of four main processing steps: segmentation of the lung fields, detection of nodules inside the lung fields, segmentation of the detected nodules  ...  This paper overviews one of the most important, interesting, and challenging problems in oncology, the problem of lung cancer diagnosis.  ...  Acknowledgment This research work has been supported by Research Scholar Grants, 120556-RSG-11-266-01-CCE, from the American Cancer Society.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2013/942353">doi:10.1155/2013/942353</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23431282">pmid:23431282</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3570946/">pmcid:PMC3570946</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4kcqhbezknh6tps6wv2zgl77xy">fatcat:4kcqhbezknh6tps6wv2zgl77xy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200321065437/http://mypages.iit.edu/~ksuzuki/pdfs/coauthor/El-BazAEtAl_ReviewCADLungCancer_IJBI2013.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/55/82/55825c22902a9bd35f6363b7670cfedf1fd58de5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2013/942353"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3570946" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A review of computer-aided diagnosis in thoracic and colonic imaging

Kenji Suzuki
<span title="">2012</span> <i title="AME Publishing Company"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/loautdcoere2pnt4xwr4hiv3yi" style="color: black;">Quantitative Imaging in Medicine and Surgery</a> </i> &nbsp;
Medical imaging offers useful information on patients' medical conditions and on the causes of their symptoms and diseases.  ...  In CAD research, detection and diagnosis of lung and colorectal cancer in thoracic and colonic imaging constitute major areas, because lung and colorectal cancers are the leading and second leading causes  ...  This work was partly supported by Grant Number R01CA120549 from the National Cancer Institute/National Institutes of Health and by the NIH S10 RR021039 and P30 CA14599.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3978/j.issn.2223-4292.2012.09.02">doi:10.3978/j.issn.2223-4292.2012.09.02</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23256078">pmid:23256078</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3496503/">pmcid:PMC3496503</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sxaldjzbkzhuln2bmqbmj7duo4">fatcat:sxaldjzbkzhuln2bmqbmj7duo4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180820144709/http://suzukilab.uchicago.edu:80/pdfs/SuzukiK_ReviewCADChestColon_QuantImagingMedSurg2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/eb/e4/ebe4f2396e8e607f311d01d7668c29a21d4aa0e5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3978/j.issn.2223-4292.2012.09.02"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3496503" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

LUNG NODULES SEGMENTATION IN CHEST CT BY LEVEL SETS APPROACH

Archana A .
<span title="2015-12-25">2015</span> <i title="eSAT Publishing House"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/m4rdj3kwwfcbvfzkv6kcnagwtm" style="color: black;">International Journal of Research in Engineering and Technology</a> </i> &nbsp;
Here the focus is to segment the small lung nodules from lung CT scan by level set approach that uses signed distance function.  ...  Segmenting Lung nodules from a chest CT image have vital interest for medical applications like diagnosis and surgical planning.  ...  INTRODUCTION Lung cancer is a deadly disease in the world. The early detection of lung cancer has a vital role in medical science.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15623/ijret.2015.0426006">doi:10.15623/ijret.2015.0426006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gc6tgkdvabgbjg337xeaiehw3y">fatcat:gc6tgkdvabgbjg337xeaiehw3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200213130941/https://ijret.org/volumes/2015v04/i26/IJRET20150426006.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/42/00/4200b1ff6a538e26314e06955dd402021907a492.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15623/ijret.2015.0426006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Automatic 3D pulmonary nodule detection in CT images: A survey

Igor Rafael S. Valente, Paulo César Cortez, Edson Cavalcanti Neto, José Marques Soares, Victor Hugo C. de Albuquerque, João Manuel R.S. Tavares
<span title="">2016</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/yejgm3i4j5ehxbahbzb42nncke" style="color: black;">Computer Methods and Programs in Biomedicine</a> </i> &nbsp;
Based on the analysis of the selected works, several studies were seen to be useful for the construction of medical diagnostic  ...  As far as the authors know, this is the first time that a review is devoted exclusively to automated 3D techniques for the detection of pulmonary nodules from lung CT images, which makes this work of noteworthy  ...  [27] proposed a new algorithm based on local intensity structure analysis and surface propagation in 3D chest CT images to segment and separate pulmonary nodules and vessels.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cmpb.2015.10.006">doi:10.1016/j.cmpb.2015.10.006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26652979">pmid:26652979</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7xrd2do5uvf7xlg4u3awzqjrwa">fatcat:7xrd2do5uvf7xlg4u3awzqjrwa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922024028/https://repositorio-aberto.up.pt/bitstream/10216/82455/2/110858.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/80/ec/80ecb369cce52ef313e06b63fcb38e27f8711973.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.cmpb.2015.10.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

Computer-aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features

Ted W. Way, Berkman Sahiner, Heang-Ping Chan, Lubomir Hadjiiski, Philip N. Cascade, Aamer Chughtai, Naama Bogot, Ella Kazerooni
<span title="2009-06-11">2009</span> <i title="Wiley"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4xxxfsh2pjc4nhsa3qijpqv6zy" style="color: black;">Medical Physics (Lancaster)</a> </i> &nbsp;
This study demonstrated that the authors' proposed segmentation and feature extraction techniques are promising for classifying lung nodules on CT images.  ...  In addition to morphological and texture features, the authors designed new nodule surface features to characterize the lung nodule surface smoothness and shape irregularity.  ...  using helical CT or chest x rays on the mortality rate of lung cancer patients.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1118/1.3140589">doi:10.1118/1.3140589</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/19673208">pmid:19673208</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC2832039/">pmcid:PMC2832039</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6mwbrrhazjgndmdqbqi5x7xmvy">fatcat:6mwbrrhazjgndmdqbqi5x7xmvy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507031616/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC2832039&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/be/14/be142946f92941489fd1ad5c2a5cae4f229e10f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1118/1.3140589"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2832039" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Assessment of Solitary Pulmonary Nodules Based on Virtual Monochrome Images and Iodine-Dependent Images Using a Single-Source Dual-Energy CT with Fast kVp Switching

Arkadiusz Zegadło, Magdalena Żabicka, Marta Kania-Pudło, Artur Maliborski, Aleksandra Różyk, Witold Sośnicki
<span title="2020-08-04">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dwd4kjnpxfgfljif4cg2bgznpm" style="color: black;">Journal of Clinical Medicine</a> </i> &nbsp;
With lung cancer being the most common malignancy diagnosed worldwide, lung nodule assessment has proved to be one of big challenges of modern medicine.  ...  As for iodine concentration maps, the analysis of venous phase images resulted in the highest clinical usefulness.  ...  IC (AP) and IC (VP) analyses are based on the ROC curves, with the determination of threshold values determining the sensitivity and specificity of the test and the AUC surface.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jcm9082514">doi:10.3390/jcm9082514</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32759779">pmid:32759779</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mswl77rmdrgiznjtx7l6weewga">fatcat:mswl77rmdrgiznjtx7l6weewga</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200806063632/https://res.mdpi.com/d_attachment/jcm/jcm-09-02514/article_deploy/jcm-09-02514.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/35/4c/354cf9a8a8f917e3d2003941dab6756cdaf6d958.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/jcm9082514"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

CT Perfusion Characteristics Identify Metastatic Sites in Liver

Yuan Wang, Brian P. Hobbs, Chaan S. Ng
<span title="">2015</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/icbhosh775h7bgzgot6avm3cua" style="color: black;">BioMed Research International</a> </i> &nbsp;
CT perfusion has been utilized on a variety of organs including lung, prostate, liver, and brain, with promising results in cancer diagnosis, disease prognostication, prediction, and treatment monitoring  ...  In this paper, we focus on assessing the extent to which CT perfusion characteristics can be used to discriminate liver metastases from neuroendocrine tumors from normal liver tissues.  ...  Currently, diagnosis and treatment monitoring of liver cancer is mostly performed using morphological imaging such as MR, CT, and US.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/120749">doi:10.1155/2015/120749</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/26509144">pmid:26509144</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4609766/">pmcid:PMC4609766</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sbffigcjorgofggagpu5zm77qy">fatcat:sbffigcjorgofggagpu5zm77qy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190228020730/http://pdfs.semanticscholar.org/9a2b/c03f4638d3a31861ea61fe97d064a22b94c1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9a/2b/9a2bc03f4638d3a31861ea61fe97d064a22b94c1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2015/120749"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609766" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Informatics and Computerized Tomography Aiding Detection and Diagnosis of Solitary Lung Cancer [chapter]

Aristfanes Corra, Anselmo Cardoso, Rodolfo Acatauassu, Marcelo Gattass
<span title="2011-04-04">2011</span> <i title="InTech"> Theory and Applications of CT Imaging and Analysis </i> &nbsp;
of lung cancer using CT images.  ...  Informatics and Computerized Tomography Aiding Detection and Diagnosis of Solitary Lung Cancer, Theory and Applications of CT Imaging and Analysis, Prof.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/14511">doi:10.5772/14511</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u5zwvls3fze7vdnno72iu2x52y">fatcat:u5zwvls3fze7vdnno72iu2x52y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180727050441/https://api.intechopen.com/chapter/pdf-download/14766" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9c/89/9c892d4654b79cd39ea567965878e52818ed5bf8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/14511"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Virtual tools for imaging of the thorax

G.R. Ferretti, I. Bricault, M. Coulomb
<span title="2001-08-01">2001</span> <i title="European Respiratory Society (ERS)"> European Respiratory Journal </i> &nbsp;
Helical computed tomography (HCT) allows for volume acquisition of the entire thorax during a single apnoea.  ...  As these 3D rendering techniques present the HCT information in a different format to the conventional transaxial CT slices, they can be summarized as virtual tools.  ...  Volumetric growth estimation based on repeated 3D volumetric measurements of small pulmonary nodules was more accurate than estimation of growth rate on axial CT images [57] . 3D analysis of small pulmonary  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1183/09031936.01.00217701">doi:10.1183/09031936.01.00217701</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/11529300">pmid:11529300</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2au67zgt35blrdq63lijmfzsjq">fatcat:2au67zgt35blrdq63lijmfzsjq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170813120308/http://erj.ersjournals.com/content/erj/18/2/381.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/81/ff/81ff973ded6956f184c139350d9bcadd352b6cc7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1183/09031936.01.00217701"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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