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The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems

Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different CAD schemes are being developed for use in the detection and/or characterization of various lesions found through various types of medical imaging. These imaging t...

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Detalles Bibliográficos
Autores principales: Kim, Tae-Yun, Son, Jaebum, Kim, Kwang-Gi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3212740/
https://www.ncbi.nlm.nih.gov/pubmed/22084808
http://dx.doi.org/10.4258/hir.2011.17.3.143
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author Kim, Tae-Yun
Son, Jaebum
Kim, Kwang-Gi
author_facet Kim, Tae-Yun
Son, Jaebum
Kim, Kwang-Gi
author_sort Kim, Tae-Yun
collection PubMed
description Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different CAD schemes are being developed for use in the detection and/or characterization of various lesions found through various types of medical imaging. These imaging technologies employ conventional projection radiography, computed tomography, magnetic resonance imaging, ultrasonography, etc. In order to achieve a high performance level for a computerized diagnosis, it is important to employ effective image analysis techniques in the major steps of a CAD scheme. The main objective of this review is to attempt to introduce the diverse methods used for quantitative image analysis, and to provide a guide for clinicians.
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spelling pubmed-32127402011-11-16 The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems Kim, Tae-Yun Son, Jaebum Kim, Kwang-Gi Healthc Inform Res Review Article Computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different CAD schemes are being developed for use in the detection and/or characterization of various lesions found through various types of medical imaging. These imaging technologies employ conventional projection radiography, computed tomography, magnetic resonance imaging, ultrasonography, etc. In order to achieve a high performance level for a computerized diagnosis, it is important to employ effective image analysis techniques in the major steps of a CAD scheme. The main objective of this review is to attempt to introduce the diverse methods used for quantitative image analysis, and to provide a guide for clinicians. Korean Society of Medical Informatics 2011-09 2011-09-30 /pmc/articles/PMC3212740/ /pubmed/22084808 http://dx.doi.org/10.4258/hir.2011.17.3.143 Text en © 2011 The Korean Society of Medical Informatics http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Kim, Tae-Yun
Son, Jaebum
Kim, Kwang-Gi
The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems
title The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems
title_full The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems
title_fullStr The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems
title_full_unstemmed The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems
title_short The Recent Progress in Quantitative Medical Image Analysis for Computer Aided Diagnosis Systems
title_sort recent progress in quantitative medical image analysis for computer aided diagnosis systems
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3212740/
https://www.ncbi.nlm.nih.gov/pubmed/22084808
http://dx.doi.org/10.4258/hir.2011.17.3.143
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