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Abstract: Automatic CAD-RADS Scoring using Deep Learning [chapter]

Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
<span title="">2021</span> <i title="Springer Fachmedien Wiesbaden"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ogpjm7nocrhprbob4bzfttt66m" style="color: black;">Informatik aktuell</a> </i> &nbsp;
The CAD-RADS score is determined by manual assessment of all coronary vessels and the grading of lesions within the coronary artery tree.  ...  On the task of identifying patients with a CAD-RADS score indicating the need for further invasive investigation our approach reaches an area under curve (AUC) of 0.923 and an AUC of 0.914 for determining  ...  The CAD-RADS score is determined by manual assessment of all coronary vessels and the grading of lesions within the coronary artery tree.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-658-33198-6_24">doi:10.1007/978-3-658-33198-6_24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vq2fhbxuh5cmddr4ssxt62wy3u">fatcat:vq2fhbxuh5cmddr4ssxt62wy3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718091246/https://link.springer.com/content/pdf/10.1007%2F978-3-658-33198-6_24.pdf?error=cookies_not_supported&amp;code=5359c56f-c187-4fb6-8894-a497ba8b0a20" 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/c7/02/c70235262b64a760a557b37bdda43dbface81063.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-658-33198-6_24"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

EuSoMII Virtual Annual Meeting 2020 Book of Abstracts

<span title="2021-03-24">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5pgrqns2fjcohbjg75bidocc3y" style="color: black;">Insights into Imaging</a> </i> &nbsp;
Twenty-six hospitals and two industry partners across Europe have collaborated to collect data and develop a deep learning model.  ...  Similar AI/CAD publications report 93% sensitivity using held-out/blinded data at specificity between 6%-42%.  ...  Keywords: Artificial Intelligence (AI), Machine Learning, Radiology Practice, Training Program S5 BOOK OF ABSTRACTS 24 OCTOBER, 2020 SS 5 Deep learning natural language processing in radiology reporting  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13244-021-00975-x">doi:10.1186/s13244-021-00975-x</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33759029">pmid:33759029</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/66vyf7npqvfnpbdiqbozrk4pda">fatcat:66vyf7npqvfnpbdiqbozrk4pda</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210403044626/https://insightsimaging.springeropen.com/track/pdf/10.1186/s13244-021-00975-x.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/c9/a9/c9a929bc690fd463c589c08be17ea433a0574b54.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13244-021-00975-x"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses

Soo -Yeon Kim, Yunhee Choi, Eun -Kyung Kim, Boo-Kyung Han, Jung Hyun Yoon, Ji Soo Choi, Jung Min Chang
<span title="2021-01-11">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tnqhc2x2aneavcd3gx5h7mswhm" style="color: black;">Scientific Reports</a> </i> &nbsp;
This study aimed to develop a deep learning-based computer-aided diagnosis (DL-CAD)-based diagnostic model to improve the differential diagnosis of screening US-detected breast masses and reduce false-positive  ...  Among the quantitative morphologic features extracted from DL-CAD, a higher irregular shape score (P = .018) and lower parallel orientation score (P = .007) were associated with malignancy.  ...  In these studies, the diagnostic performances of the commercial DL-CAD software were tested without using the original DL-CAD-extracted quantitative morphologic scores that was used in this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-020-79880-0">doi:10.1038/s41598-020-79880-0</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33432076">pmid:33432076</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/his732xx5fhmbgpcvnratyfofa">fatcat:his732xx5fhmbgpcvnratyfofa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429005218/https://www.nature.com/articles/s41598-020-79880-0.pdf?error=cookies_not_supported&amp;code=9c3a10b7-2f02-49e7-bbcd-ef80fa0eb0db" 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/de/42/de42ca227e976282c77bbf425e9d96f11be74bf1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1038/s41598-020-79880-0"> <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>

Abstracts

<span title="">2013</span> <i title="S. Karger AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/43rsh2kahvc6digemicmi5ae3e" style="color: black;">Cerebrovascular Diseases</a> </i> &nbsp;
With contemporary high-end ultrasound systems, image resolution of echogenic deep brain structures can even be higher on TCS than on MRI.  ...  The development of transcranial Doppler has allowed us to examine the response of cerebral flow velocity to beat by beat changes in blood pressure.  ...  Median NIHSS score (baseline): 13 (5-24). Door -treatment time: 61.3 (± 23.2) minutes. Occluded artery symptoms: MCA: 75%. PCA, BA and VA: 25%.Onset treatment ≥3-4.5 hours: 43.8%.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000351748">doi:10.1159/000351748</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23712294">pmid:23712294</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kuw65edukrgkfdsnvwgsbj2r4m">fatcat:kuw65edukrgkfdsnvwgsbj2r4m</a> </span>
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Abstracts

<span title="">2013</span> <i title="S. Karger AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/b6a4ryz2s5hq7k76f67tiiyuna" style="color: black;">Cardiology</a> </i> &nbsp;
SYNTAX score system was used to assess the severity of coronary artery disease status.  ...  Result CAM was used by 69% of the patients with CAD. "Few side effects" (49.6%) was the main reason of CAM use; whereas "doubt of effect" (61.5%) was the main reason for non-use.  ...  Revman v5.0 statistical program was used to analyze the data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000355684">doi:10.1159/000355684</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qdpj5tszuba53krjvxrjrqn7im">fatcat:qdpj5tszuba53krjvxrjrqn7im</a> </span>
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Abstracts

<span title="">2012</span> <i title="S. Karger AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/43rsh2kahvc6digemicmi5ae3e" style="color: black;">Cerebrovascular Diseases</a> </i> &nbsp;
Robotic technology should lead to improvements in the near future which will establish automatic long-term monitoring in the clinical routine e.g. stroke units.  ...  At present 2D-imaging of vascular diseases is carried out using different ultrasound techniques.  ...  But PS before operation (0.72±0.24 rad) was lower than after operation (0.96±0.33 rad). ARI was almost the same before and after operation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000338951">doi:10.1159/000338951</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/22652633">pmid:22652633</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tvkmom7mpze5zn4tsvsm7tlmje">fatcat:tvkmom7mpze5zn4tsvsm7tlmje</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180724154454/https://www.karger.com/Article/Pdf/338951" 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/c3/b9/c3b9edc810397e61fd4f68d477d9e067ff18d70f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000338951"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

2017 CUA abstracts

CUAJ Editorial
<span title="2017-06-13">2017</span> <i title="Canadian Urological Association Journal"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlpyh4fstfcljc6yexbo7el7fy" style="color: black;">Canadian Urological Association Journal</a> </i> &nbsp;
The positive predictive value (PPV) for Gleason 7 or higher cancer for Prostate Imaging Reporting and Data System (PI-RADS) score 1-2, 3,4, and 5 was 13%, 29%, 24%, and 33%, respectively. 2/12 (16.7%)  ...  with a MRI score of 1, and 3/33 (9%) with MRI score of 2 had Gleason 7 or higher cancers on systematic biopsy.  ...  VAT was measured using computed tomography (CT)-based fat delineation program AnalyzePro ® , where axial slices were obtained at the level of the umbilicus (L4 and L5 [VAT1]) and at the L1-L2 level (VAT2  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5489/cuaj.4728">doi:10.5489/cuaj.4728</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/73eow4zhrjakhofb3fihojpcfq">fatcat:73eow4zhrjakhofb3fihojpcfq</a> </span>
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Abstracts of Original Contributions ASNC2021 The 26th Annual Scientific Session of the American Society of Nuclear Cardiology

<span title="2021-09-13">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/24ofo5bdvzd2lizjdo4i75ge5a" style="color: black;">Journal of Nuclear Cardiology</a> </i> &nbsp;
Background myocardial DOTA-TATE uptake was assessed using a four-point scale from moderate to absent.  ...  We examined the clinical use of 68 Ga-DOTATATE PET/CT for diagnosis and response assessment in cardiac sarcoidosis compared to 18 F-FDG PET/CT as the reference standard.  ...  More than half (57%) of the patients had moderate (CAD-RADS 3) stenosis. FFRCT \ 0.8 was found in 59% of patients, with an increasing percent across categories of CAD-RADS.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12350-021-02760-1">doi:10.1007/s12350-021-02760-1</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34519011">pmid:34519011</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8437334/">pmcid:PMC8437334</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/c7htew7zrvbhtmt5ivfcphkjoa">fatcat:c7htew7zrvbhtmt5ivfcphkjoa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220121114812/http://link.springer.com/content/pdf/10.1007/s12350-021-02760-1.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/ef/be/efbe2f02bb6e6d732087ef55191423c38eaae398.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s12350-021-02760-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437334" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

ESGAR 2018 Book of Abstracts

<span title="2018-05-29">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5pgrqns2fjcohbjg75bidocc3y" style="color: black;">Insights into Imaging</a> </i> &nbsp;
Only relevant extracolonic findings (C-RADS: E4) were recorded. CAD results were reported and significant findings were selected.  ...  In patients with LI-RADS 5, 4/5, 4 or 3 lesions, the descriptions in the reports were used to categorize the lesions using the LI-RADS 2017 (LR) and OPTN-UNOS systems and the histopathology coding of explanted  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-018-0634-1">doi:10.1007/s13244-018-0634-1</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29845588">pmid:29845588</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5974953/">pmcid:PMC5974953</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6az3dgaqwzekpp6u7hl3dfsy4u">fatcat:6az3dgaqwzekpp6u7hl3dfsy4u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190502033605/https://link.springer.com/content/pdf/10.1007%2Fs13244-018-0634-1.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/5f/d2/5fd233007fc6929dc28b8df23d60ac493de007e8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-018-0634-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5974953" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

ECR 2011 Book of Abstracts - B - Scientific Sessions

<span title="">2011</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5pgrqns2fjcohbjg75bidocc3y" style="color: black;">Insights into Imaging</a> </i> &nbsp;
contrast-to-noise ratio (CNR) on CT [(Attenuation nodule -Attenuation liver )/(SD background)x100], and MR imaging [[(Intensity nodule -Intensity liver )/(SD background)x100] were calculated and compared using  ...  Data were independently evaluated and abstracted with a standardized protocol and abstraction form.  ...  Conclusion: Semi-automatic analysis of breast MRI using CAD provides quantitative data, which can be used to predict occurrence of distant metastasis in primary breast cancer.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-011-0077-4">doi:10.1007/s13244-011-0077-4</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23100071">pmid:23100071</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3533624/">pmcid:PMC3533624</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lytbu2vohbhhnorjqlpogl77iu">fatcat:lytbu2vohbhhnorjqlpogl77iu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190225135806/http://pdfs.semanticscholar.org/605f/b055ce00385c008f0c27f53402824cf09db9.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] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-011-0077-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3533624" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

DeepCAD: A Computer-Aided Diagnosis System for Mammographic Masses Using Deep Invariant Features

Qaisar Abbas
<span title="2016-10-31">2016</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mvyhkzd6pbcqznrpy72k57bd6y" style="color: black;">Computers</a> </i> &nbsp;
Afterwards, the deep invariant features (DIFs) are constructed in supervised and unsupervised fashion through multilayer deep-learning architecture.  ...  In this paper, a novel CAD system is proposed called DeepCAD, which uses four phases to overcome these problems.  ...  So, the DL-NN algorithm helps to separate these abstractions and to choice the features that are useful for learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/computers5040028">doi:10.3390/computers5040028</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/53xnmbdtozbebknkmx34bp6aly">fatcat:53xnmbdtozbebknkmx34bp6aly</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180727141656/https://res.mdpi.com/def5020018a9bf10074d7b15e4094d9872385c6af56604cb68f29563b805e6be47ddfae5ca23d2c9638dc5d1d284ceed4f86fd61af4d317f3794c1179e9a345cb02f2c21642a1410821ddd394cd5c8f27ccba847d977ea129e9da63b2e375fbc2a939a0456b30210ee39e3dedd4879ffc387cb748f0bfd55a5e55ebc78f6297d583cb729f64f939fcca05d26d24755a3fe04cb4ec3ea?filename=&amp;attachment=1" 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/50/80/50805aff91e44328956d73cab787865da2ac5cf1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/computers5040028"> <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>

ESGAR 2016 Book of Abstracts

<span title="2016-05-25">2016</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5pgrqns2fjcohbjg75bidocc3y" style="color: black;">Insights into Imaging</a> </i> &nbsp;
CAD as a second reader was associated with a higher per-polyp sensitivity (77.1% vs. 81.5%,respectively,p=0.001).Using CAD as a concurrent reader has a statistically significant shorter reporting time  ...  :The best current evidence indicates that CAD for CTC as a second reader results in higher per-polyp sensitivity when compared to unassisted interpretation (grade B recommendation).Using CAD as a concurrent  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-016-0502-9">doi:10.1007/s13244-016-0502-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27222054">pmid:27222054</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4896868/">pmcid:PMC4896868</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rrqwumuca5emlp6dyyvgqyo6ni">fatcat:rrqwumuca5emlp6dyyvgqyo6ni</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191016172845/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC4896868&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/05/7b/057b5e4a0b1add58fc1be221e1047818d74ca7e6.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-016-0502-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896868" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

ESSR Abstracts

<span title="">2019</span> <i title="S. Karger AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5oyik4rqlrb6jihndowauploiu" style="color: black;">European Surgical Research</a> </i> &nbsp;
and patients with a PI-RADS score of 3 and above proceeded to TP biopsy.  ...  Background: Artificial intelligence (AI), computeraided diagnosis (CAD) and machine learning (ML) will play critical roles in the future of healthcare.  ...  The model was created using resin, silicone, a mesh and a pig muscle wall. The tool was used and evaluated by 32 gynaecologists during a course for the learning of laparoscopic colposacropexy.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000501113">doi:10.1159/000501113</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yqnjjgaowrczxajus3kdukj5ba">fatcat:yqnjjgaowrczxajus3kdukj5ba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200305111953/https://www.karger.com/Article/Pdf/501113" 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/5e/51/5e51632c6acefd0d3d1690ab52f2bac0dd1d3b0d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1159/000501113"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Artificial Intelligence Based Algorithms for Prostate Cancer Classification and Detection on Magnetic Resonance Imaging: A Narrative Review

Jasper J. Twilt, Kicky G. van Leeuwen, Henkjan J. Huisman, Jurgen J. Fütterer, Maarten de Rooij
<span title="2021-05-26">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/abr6zdbfebblxlzh436eqtiagi" style="color: black;">Diagnostics</a> </i> &nbsp;
In more recent years, a particular subset of ML, deep learning (DL), gained popularity in CAD [13] .  ...  of machine learning (ML) and deep learning (DL) based multi-class lesion classification for prostate cancer using an axial T2-weighted sequence.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/diagnostics11060959">doi:10.3390/diagnostics11060959</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34073627">pmid:34073627</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6d4r4eu2drbdxodlj77ga6xuyi">fatcat:6d4r4eu2drbdxodlj77ga6xuyi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210601065204/https://res.mdpi.com/d_attachment/diagnostics/diagnostics-11-00959/article_deploy/diagnostics-11-00959-v2.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/e2/f4/e2f442c518f988de74ec893f04e460fc3a19846e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/diagnostics11060959"> <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>

CUA Abstracts-2007

CUA Abstracts-2007
<span title="2012-12-11">2012</span> <i title="Canadian Urological Association Journal"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vlpyh4fstfcljc6yexbo7el7fy" style="color: black;">Canadian Urological Association Journal</a> </i> &nbsp;
Mortality rate of 0.7% was recorded for patients with Charlson comorbidity index score equal to zero vs. 2.2%, if the score was 3-4.  ...  Area under the curves (AUC) were examined using receiver operating characteristic (ROC) analysis.  ...  T test was used for statisti- cal analysis to compare between the means of scores in each group Results: Table 1 1 com- Table 1 . 1 Abstract MP02.09.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5489/cuaj.60">doi:10.5489/cuaj.60</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3uimc74lzbdsbnx3bf47monoia">fatcat:3uimc74lzbdsbnx3bf47monoia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721053358/http://cuaj.ca/index.php/journal/article/download/60/57" 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/d4/3e/d43e80b2c94fadd2353ca4ad8bb3d44d71d523bf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5489/cuaj.60"> <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>
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