
Proceedings Paper
Computer-aided diagnosis of diagnostically challenging lesions in breast MRI: a comparison between a radiomics and a feature-selective approachFormat | Member Price | Non-Member Price |
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Paper Abstract
Diagnostically challenging lesions pose a challenge both for the radiological reading and also for current CAD systems. They are not well-defined in both morphology (geometric shape) and kinetics (temporal enhancement) and pose a problem to lesion detection and classification. Their strong phenotypic differences can be visualized by MRI. Radiomics represents a novel approach to achieve a detailed quantification of the tumour phenotypes by analyzing a large number of image descriptors. In this paper, we apply a quantitative radiomics approach based on shape, texture and kinetics tumor features and evaluate it in comparison to a reduced-order feature approach in a computer-aided diagnosis system applied to diagnostically challenging lesions.
Paper Details
Date Published: 12 July 2016
PDF: 7 pages
Proc. SPIE 9871, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, 98710H (12 July 2016); doi: 10.1117/12.2228994
Published in SPIE Proceedings Vol. 9871:
Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
Liyi Dai; Yufeng Zheng; Henry Chu; Anke D. Meyer-Bäse, Editor(s)
PDF: 7 pages
Proc. SPIE 9871, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, 98710H (12 July 2016); doi: 10.1117/12.2228994
Show Author Affiliations
Sebastian Hoffmann, Florida State Univ. (United States)
Saarland Univ. (Germany)
Marc Lobbes, Maastricht Univ. Medical Ctr. (Netherlands)
Ivo Houben, Maastricht Univ. Medical Ctr. (Netherlands)
Katja Pinker-Domenig, Medical Univ. of Vienna (Austria)
Memorial Sloan-Kettering Cancer Ctr. (United States)
Georg Wengert, Medical Univ. of Vienna (Austria)
Saarland Univ. (Germany)
Marc Lobbes, Maastricht Univ. Medical Ctr. (Netherlands)
Ivo Houben, Maastricht Univ. Medical Ctr. (Netherlands)
Katja Pinker-Domenig, Medical Univ. of Vienna (Austria)
Memorial Sloan-Kettering Cancer Ctr. (United States)
Georg Wengert, Medical Univ. of Vienna (Austria)
Bernhard Burgeth, Saarland Univ. (Germany)
Uwe Meyer-Bäse, Florida State Univ. (United States)
Guillaume Lemaitre, Univ. Bourgogne, LE2I, CNRS (France)
Anke Meyer-Baese, Florida State Univ. (United States)
Maastricht Univ. Medical Ctr. (Netherlands)
Uwe Meyer-Bäse, Florida State Univ. (United States)
Guillaume Lemaitre, Univ. Bourgogne, LE2I, CNRS (France)
Anke Meyer-Baese, Florida State Univ. (United States)
Maastricht Univ. Medical Ctr. (Netherlands)
Published in SPIE Proceedings Vol. 9871:
Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
Liyi Dai; Yufeng Zheng; Henry Chu; Anke D. Meyer-Bäse, Editor(s)
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