Article

An evidential deep learning framework for assessment of mammograms

2023-11-14

Abstract excerpt

<title>Abstract</title> <p>In this study, we present an evidential deep learning framework called MV-DEFEAT, incorporating the strength of Dempster-Shafer evidential theory and subjective logic, for various mammogram assessment tasks, including mammogram density assessment, BIRADS scoring, and mammogram finding as normal/benign/malignant. The framework combines evidence from multiple mammogram’s views to mimic a...

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Literature Corpus work: b2f2bdd5-9cb1-531f-9a05-4b9e23d39e05
DOI: 10.21203/rs.3.rs-2821378/v1

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