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Communication dans un congrès

Computer-Aided Diagnosis of Diagnostically Challenging Lesions in Breast MRI: A Comparison between a Radiomics and a Feature-Selective Approach

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.
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Communication dans un congrès
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https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01438462
Contributeur : Le2i - Université de Bourgogne <>
Soumis le : mardi 17 janvier 2017 - 17:17:51
Dernière modification le : vendredi 17 juillet 2020 - 14:54:10

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Sebastian Hoffmann, Marc Lobbes,, Ivo Houben,, Katja Pinker-Domenig,, Georg Wengert,, et al.. Computer-Aided Diagnosis of Diagnostically Challenging Lesions in Breast MRI: A Comparison between a Radiomics and a Feature-Selective Approach. Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications, Apr 2016, Baltimore, MD, United States. pp.UNSP 98710H, ⟨10.1117/12.2228994⟩. ⟨hal-01438462⟩

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