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A Robust Method for Extraction and Automatic Segmentation of Brain Images

N. Kovacevic, N.J. Lobaugh, M.J. Bronskill, B. Levine, A. Feinstein, S.E. Black
<span title="">2002</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
A new protocol is introduced for brain extraction and automatic tissue segmentation of MR images.  ...  For the brain extraction algorithm, proton density and T2-weighted images are used to generate a brain mask encompassing the full intracranial cavity.  ...  Swartz, and F. Q. Gao for their assistance in testing and validating the protocol. We thank G. Sela for his input in the initial stages of algorithm development.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1006/nimg.2002.1221">doi:10.1006/nimg.2002.1221</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/12414252">pmid:12414252</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q4fzbjso6vdatd74aywkkb5kby">fatcat:q4fzbjso6vdatd74aywkkb5kby</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20140616104540/http://www.via.cornell.edu/courses/ece578/project/2011/g03/paper7.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/b3/eb/b3eb95c72f84aa1c510b46cd1840d145abb1c829.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1006/nimg.2002.1221"> <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>

Symmetry Plane Detection in Brain Image Analysis: A Survey

Surani Jayasuriya, Alan Liew, Ngai-Fong Law
<span title="">2013</span> <i title="Bentham Science Publishers Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vjb4yv2gwvgonnlrmymhzu4gru" style="color: black;">Current Medical Imaging Reviews</a> </i> &nbsp;
The paper is basically an overview and discussion of the methods and techniques being proposed and developed in regard of brain image analysis.  ...  Image analysis is generally a process where digital image processing is utilized to process digital images in order to extract significant statistics or information from the images.  ...  The method extracted and then atlas of brain is estimated for both PET makes use of morphological filtering, multi resolution -CT images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2174/15734056113096660007">doi:10.2174/15734056113096660007</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5fjl653sxncpnldlit6l7qd4ia">fatcat:5fjl653sxncpnldlit6l7qd4ia</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170812034346/http://www.idosi.org/wasj/wasj19(10)12/17.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/de/87/de87a4a0f78d9605c379cca17fba719385dffcd3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2174/15734056113096660007"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An automated and simple method for brain MR image extraction

Haiyan Zhang, Jiafeng Liu, Zixin Zhu, Haiyun Li
<span title="">2011</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/u2ij72rn4fgcljv3o6um2aiwge" style="color: black;">BioMedical Engineering OnLine</a> </i> &nbsp;
The extraction of brain tissue from magnetic resonance head images, is an important image processing step for the analyses of neuroimage data.  ...  The method is applied to both our data and Internet brain MR data provided by the Internet Brain Segmentation Repository.  ...  to further test our method as a fully automated, simple and robust method for brain extraction.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1475-925x-10-81">doi:10.1186/1475-925x-10-81</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21910906">pmid:21910906</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3180437/">pmcid:PMC3180437</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/me6xvlstorgghfl5nma5v2roru">fatcat:me6xvlstorgghfl5nma5v2roru</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130523023439/http://www.biomedical-engineering-online.com/content/pdf/1475-925X-10-81.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/6b/e7/6be7f6ac27187644d8608908be88f249e0eadf4f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1475-925x-10-81"> <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/PMC3180437" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Review of Computational Methods on Brain Symmetric and Asymmetric Analysis from Neuroimaging Techniques

P. Kalavathi, M. Senthamilselvi, V. Prasath
<span title="2017-04-18">2017</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ccathu4omjd55by7ulzsocssly" style="color: black;">Technologies</a> </i> &nbsp;
However, the development of accurate segmentation of brain images is very important and crucial for a correct diagnosis of any brain related diseases.  ...  Neuroimaging based digital imagery generally contain noise, inhomogeneity, aliasing artifacts, and orientational deviations. Therefore, accurate segmentation of brain images is a very difficult task.  ...  Conflicts of Interest: Conflicts of Interest The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/technologies5020016">doi:10.3390/technologies5020016</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iue4kbx7wrgj5nvydpporzn4om">fatcat:iue4kbx7wrgj5nvydpporzn4om</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180719144137/https://www.preprints.org/manuscript/201611.0138/v1/download" 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/7f/39/7f398f766dd71526fc141d79a2f6ea8168984056.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/technologies5020016"> <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>

Hybrid Surface- and Voxel-Based Registration for MR-PET Brain Fusion [chapter]

Ho Lee, Helen Hong
<span title="">2005</span> <i title="Springer Berlin Heidelberg"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
And then, we automatically segment the brain using the inverse region growing with pre-calculated threshold and extract the feature points of the brain using sharpening filter in PET images.  ...  In this paper, we propose a novel technique of registration using hybrid approach for MR-PET brain image fusion. Hybrid approach uses merits of surface-and voxel-based registration.  ...  Acknowledgements This work was supported in part by a grant B020211 from Strategic National R&D Program of Ministry of Science and Technology and a grant 10014138 from the Advanced Technology Center Program  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11553595_114">doi:10.1007/11553595_114</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cxabyatyqzf3pgsdhe4hetyyn4">fatcat:cxabyatyqzf3pgsdhe4hetyyn4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190503162126/https://link.springer.com/content/pdf/10.1007%2F11553595_114.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/0d/38/0d3892b4a0a766b4b233ea353db00636dc800321.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/11553595_114"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An Automatic Brain Tumor Detection and Segmentation using Hybrid Method

Sreedhanya S., Chhaya S. Pawar
<span title="2017-01-06">2017</span> <i title="Foundation of Computer Science"> International Journal of Applied Information Systems </i> &nbsp;
Hence, there is high demand for an automatic brain tumor detection and segmentation using brain MR images to overcome manual segmentation.  ...  So, this paper provides a review of the methods and techniques that used to detect and segment brain tumor through MRI segmentation.  ...  Rows from left to right: a, b, c respectively: T2-w image, T1-w image, segmented image by the system, ground truth segmented tumor, extracted tumor by the proposed method and extracted ground truth tumor  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijais2017451641">doi:10.5120/ijais2017451641</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3pso5tivpvhwleqduwokmhlmo4">fatcat:3pso5tivpvhwleqduwokmhlmo4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180604072435/https://www.ijais.org/archives/volume11/number9/sreedhanya-2017-ijaia-451641.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/94/3e/943ea08618fe02574298652e64faabd582e0ac8a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5120/ijais2017451641"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI [chapter]

Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
<span title="">2018</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
In this paper, we propose a fully automatic framework for fetal brain reconstruction that consists of three stages: 1) brain localization based on a coarse segmentation of a down-sampled input image by  ...  Existing reconstruction methods are time-consuming and often require user interaction to localize and extract the brain from several stacks of 2D slices.  ...  We believe that a fully automatic reconstruction pipeline based on automatic brain localization, extraction (segmentation) and robust reconstruction steps is favored to achieve accurate fetal brain reconstructions  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-00928-1_36">doi:10.1007/978-3-030-00928-1_36</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/e4zxie25rjewhnzexlb4tc6twu">fatcat:e4zxie25rjewhnzexlb4tc6twu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200313012303/https://discovery.ucl.ac.uk/id/eprint/10058699/1/Ebner%20et%20al.%20-%202018%20-%20An%20Automated%20Localization,%20Segmentation%20and%20Reconstruction%20Framework%20for%20Fetal%20Brain%20MRI.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/2c/92/2c9293dd1292850816e1f6a8ebb40c1b300ba2c1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-00928-1_36"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

An Efficient Computer-Aided Diagnosis System for the Analysis of DICOM Volumetric Images

Qoseen Zahra, Muhammad Sheraz Arshad Malik, Naila Batool
<span title="2019-07-01">2019</span> <i title="Mehran University of Engineering and Technology"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ecaiw5coi5ev3jsbuiwj3f4hh4" style="color: black;">Mehran University Research Journal of Engineering and Technology</a> </i> &nbsp;
The tumor is segmented using a semi-automatic segmentation algorithm in which the threshold values selection for head and cancer regions are premeditated automatically.  ...  This paper proposes a framework for brain cancer detection and classification.  ...  BOVW (Bag of Visual Words) features extraction method is a robust method for the removal from the image in the computer vision system.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22581/muet1982.1903.24">doi:10.22581/muet1982.1903.24</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xgr4qiwsuffrpj7mu2gi3yzzdq">fatcat:xgr4qiwsuffrpj7mu2gi3yzzdq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200215085119/https://publications.muet.edu.pk/index.php/muetrj/article/download/1151/361" 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/88/3a/883aa49e4b935f080a05af0cb4e9efa5bde6451f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.22581/muet1982.1903.24"> <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>

Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet [article]

Sara Ranjbar
<span title="2020-06-04">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Skull striping is a preliminary step in presurgical planning, cortical reconstruction, and automatic tumor segmentation.  ...  We automatically created gray matter, white matter, and CSF probability masks using SPM12 software and merged the masks into one for a final whole-brain mask for model training.  ...  Given the large size of our cohort and the labor-intensive nature of manual segmentation, we needed an automatic method to create brain masks for training.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.02627v1">arXiv:2006.02627v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/trb6vy6a7bh3hebz3ody7a65jy">fatcat:trb6vy6a7bh3hebz3ody7a65jy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827052237/https://arxiv.org/ftp/arxiv/papers/2006/2006.02627.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/f8/93/f8930ad6ed793aed38912422631d9fa427f2183c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2006.02627v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Automated template-based brain localization and extraction for fetal brain MRI reconstruction

Sébastien Tourbier, Clemente Velasco-Annis, Vahid Taimouri, Patric Hagmann, Reto Meuli, Simon K. Warfield, Meritxell Bach Cuadra, Ali Gholipour
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
This has been achieved through a novel automatic brain localization and extraction method based on robust template-to-slice block matching and deformable slice-totemplate registration.  ...  The proposed brain mask refinement and reconstruction method has shown to provide promising results in automatic fetal brain MRI segmentation and volumetry in 26 fetuses with gestational age range of 23  ...  National Institutes of Health grants R01 EB0118988, R01 EB013248, and R03 DE22109. The authors would like to thank Prof. Laurent Guibaud for providing access to the SSFSE data. Appendix A.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2017.04.004">doi:10.1016/j.neuroimage.2017.04.004</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/28408290">pmid:28408290</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5513844/">pmcid:PMC5513844</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rpja52fb7fbu3mq4nkec6w2i4i">fatcat:rpja52fb7fbu3mq4nkec6w2i4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721013855/https://serval.unil.ch/resource/serval:BIB_F129C2509552.P001/REF.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/de/5fdee881177c55d51ea5c0152adc082a034369af.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2017.04.004"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513844" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Fully Automatic Skull-Stripping in 3D Time-of-Flight MRA Image Sequences [article]

Nils Daniel Forkert, Dennis Säring, Jens Fiehler, Till Illies, Matthias Färber, Dietmar Möller, Heinz Handels
<span title="">2008</span> <i title="The Eurographics Association"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ufwckfuh45dd7nd6sm4na6suuy" style="color: black;">Eurographics Workshop on Visual Computing for Biomedicine</a> </i> &nbsp;
In this paper we present a robust skull-stripping method for the isolation of cerebral tissue in 3D Time-of-Flight (TOF) magnetic resonance angiographic images of the brain. 3D TOF images are often acquired  ...  In summary the procedure suggested allows a fast and fully automatic segmentation of the brain and is especially helpful as a preprocessing step towards an automatic segmentation of the vessel system or  ...  Material and Methods Material For development and evaluation of the automatic brain segmentation method 18 datasets were available.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2312/vcbm/vcbm08/159-165">doi:10.2312/vcbm/vcbm08/159-165</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mhhwjtoqurgp7htpjomorddoey">fatcat:mhhwjtoqurgp7htpjomorddoey</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808165031/http://www.imi.uni-luebeck.de/sites/default/files/Fully-Automatic-Skull-Stripping.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/a5/1e/a51e1a8296b12470fae202060dd714893d74c17e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2312/vcbm/vcbm08/159-165"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

MACHINE INTELLIGENCE APPROACH FOR OPTIMIZATION OF CRANIAL TUMOR IMAGE
English

Tamsekar PB, Gomase VS
<span title="2009-12-30">2009</span> <i title="Bioinfo Publications"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/no45whp52jcq3nkygsb3awuuo4" style="color: black;">International Journal of Machine Intelligence</a> </i> &nbsp;
The need for accurate and reproducible research has driven the development of robust analysis frameworks for maximizing the information content of cancer pathological data.  ...  Image optimization technology is the driving force of this revolution and technology, which allows the simultaneous monitoring of expression for thousands of images.  ...  To relieve researchers from manually correcting image processing results and manually collecting the related information for tumor images, in these techniques, we proposed an automatic and robust method  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.9735/0975-2927.1.2.50-54">doi:10.9735/0975-2927.1.2.50-54</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q7uvqkyemjcxplgloihkwysngy">fatcat:q7uvqkyemjcxplgloihkwysngy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721113816/https://bioinfopublication.org/files/articles/1_2_10_IJMI.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/4c/34/4c3441c718df53514898072308681d0cfe1f546b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.9735/0975-2927.1.2.50-54"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Magnetic resonance image tissue classification using an automatic method

Sepideh Yazdani, Rubiyah Yusof, Amirhosein Riazi, Alireza Karimian
<span title="">2014</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/bnlxftbkqrajhnj77u2cy7ikmq" style="color: black;">Diagnostic Pathology</a> </i> &nbsp;
Some of the automatic brain segmentation techniques are complex and some of them are not sufficiently accurate for certain applications.  ...  Methods: In this paper we present a simple and more accurate automated technique for brain segmentation into White Matter, Gray Matter and Cerebrospinal fluid (CSF) in three-dimensional MR images.  ...  Stage 2: Brain segmentation In this paper a fully automatic framework for segmentation of brain MR Images is proposed for brain tissue segmentation in the magnetic resonance images.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13000-014-0207-7">doi:10.1186/s13000-014-0207-7</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25540017">pmid:25540017</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4300026/">pmcid:PMC4300026</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/62peh3tp7zazvhbziujjfjcz3u">fatcat:62peh3tp7zazvhbziujjfjcz3u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20171016204030/http://publisher-connector.core.ac.uk/resourcesync/data/Springer-OA/pdf/9f3/aHR0cDovL2xpbmsuc3ByaW5nZXIuY29tLzEwLjExODYvczEzMDAwLTAxNC0wMjA3LTcucGRm.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/a1/b2/a1b2be49b4ab77de64157e2d477799f43e503452.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/s13000-014-0207-7"> <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/PMC4300026" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Brain Tissue Classification in Magnetic Resonance Images

Sapideh Yazdani, Rubiyah Yusof, Alireza Karimian, Amir Hossein Riazi
<span title="2015-01-05">2015</span> <i title="Penerbit UTM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xgym76lve5dw7bbeqkndyfil2u" style="color: black;">Jurnal Teknologi</a> </i> &nbsp;
Automatic segmentation of brain images is a challenging problem due to the complex structure of brain images, as well as to the absence of anatomy models.  ...  In this paper we present a novel fully automated framework for tissue classification of brain in MR Images that is a combination of two techniques: GLCM and SVM, each of which has been customized for the  ...  Also, thanks to the Research Management Center (RMC) of Universiti Teknologi Malaysia (UTM) for research environment to complete this work.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11113/jt.v72.3879">doi:10.11113/jt.v72.3879</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nvhilya4uzh4fncjrunyxj6x5i">fatcat:nvhilya4uzh4fncjrunyxj6x5i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180720152134/https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/download/3879/2837" 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/90/a4/90a41e081866e5c0d4a614731398fa8fd5fca203.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.11113/jt.v72.3879"> <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>

State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods

Saqib Ali, Jianqiang Li, Yan Pei, Rooha Khurram, Khalil ur Rehman, Abdul Basit Rasool
<span title="2021-11-04">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2zwku6u6nfdcri773tpisi6ldi" style="color: black;">Cancers</a> </i> &nbsp;
In this survey, we analyze the state-of-the-art approaches for multi-organ cancer detection, segmentation, and classification.  ...  This review also provides an objective description of widely employed imaging techniques, imaging modality, gold standard database, and related literature on each cancer in 2016–2021.  ...  Acknowledgments: Authors would like to thank National Key R&D Program of China for providing experimental facilities to conduct this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/cancers13215546">doi:10.3390/cancers13215546</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34771708">pmid:34771708</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8583666/">pmcid:PMC8583666</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3xavsdok7zdp5oa2ix2gtkolbq">fatcat:3xavsdok7zdp5oa2ix2gtkolbq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211122235912/https://mdpi-res.com/d_attachment/cancers/cancers-13-05546/article_deploy/cancers-13-05546-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/89/ee/89ee14fea5a20e07dc10fd9f91968197cba4f22f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/cancers13215546"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583666" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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