Deep Multiple Instance Learning for Automatic Breast Cancer Assessment Using Digital Mammography

Breast cancer causes serious public health problems; it is the most common cancer among women worldwide. Screening and early detection of signs of breast cancer increase the chance of survival. Early diagnosis is a crucial task for radiologists and physicians. Therefore, many computer-aided detectio...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement 2022, Vol.71, p.1-13
1. Verfasser:	Elmoufidi, Abdelali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bidimensional empirical mode decomposition (BEMD) Breast cancer Classification Classification algorithms computer-aided diagnosis deep learning Diagnosis Digital imaging Empirical analysis Feature extraction Image analysis machine learning Mammography Physicians Public health Screening Support vector machines Survival Task analysis texture feature
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