Choquet Integral based Feature Selection for Early Breast Cancer Diagnosis from MRIs
This paper focuses on breast cancer of the mammary gland. Both basic segmentation steps and usual features are recalled. Then textural and morphological information are combined to improve the overall performance of breast MRI in a computer-aided system. A model of selection based on Choquet integral is provided. Such model is suitable when handling with a weak amount of data even ambiguous in some extent. Achieved results compared to well-known classification methods show the interest of our approach.
ICPRAM https://hal.archives-ouvertes.fr/hal-01391970 ICPRAM, Feb 2016, Rome, Italy. Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, pp.351 - 358, 2016, <10.5220/0005754703510358>ARRAY(0x7f5470854698) 2016-02-24