Computer-Aided Diagnosis of Diagnostically Challenging Lesions in Breast MRI: A Comparison between a Radiomics and a Feature-Selective Approach - Université de Bourgogne Accéder directement au contenu
Communication Dans Un Congrès Année : 2016

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

Résumé

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.
Fichier non déposé

Dates et versions

hal-01438462 , version 1 (17-01-2017)

Identifiants

Citer

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⟩
307 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More