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

Autor: Marc B. I. Lobbes, Uwe Meyer-Bäse, Katja Pinker-Domenig, Anke Meyer-Baese, I. P. L. Houben, Guillaume Lemaitre, Bernhard Burgeth, Sebastian Hoffmann, Georg Wengert

Publikováno v: Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications
Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications, Apr 2016, Baltimore, MD, United States. pp.UNSP 98710H, ⟨10.1117/12.2228994⟩
Dai, L; Zheng, Y ; Chu, H; MeyerBase, AD. Conference on Sensing and Analysis Technologies for Biomedical and Cognitive Applications, Apr 2016, Baltimore, MD, United States. SPIE-INT SOC OPTICAL ENGINEERING, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA, Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016, 9871, pp.UNSP 98710H, 2016, Proceedings of SPIE. 〈http://spie.org/Publications/Proceedings/Paper/10.1117/12.2228994〉. 〈10.1117/12.2228994〉

International audience; 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 pos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e559e5a3fcfb38642c0f7a8e08cb283d
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01438462