Choquet Integral based Feature Selection for Early Breast Cancer Diagnosis from MRIsReport as inadecuate




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1 LIPADE - Laboratoire d-Informatique Paris Descartes 2 ENIS - École Nationale d-Ingénieurs de Sfax | National School of Engineers of Sfax

Abstract : 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.

Keywords : Breast cancer computer aided diagnosis mammography ultrasound MRI dual-energy contrast-enhanced digital mammography Choquet integral





Author: Soumaya Trabelsi Ben Ameur - Florence Cloppet - Sellami Dorra - Laurent Wendling -

Source: https://hal.archives-ouvertes.fr/



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