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Lightweight U-Net for High-Resolution Breast Imaging

Authors :
Tardy, Mickael
Mateus, Diana
Publication Year :
2020

Abstract

We study the fully convolutional neural networks in the context of malignancy detection for breast cancer screening. We work on a supervised segmentation task looking for an acceptable compromise between the precision of the network and the computational complexity.<br />Comment: in Proceedings of iTWIST'20, Paper-ID: 30, Nantes, France, December, 2-4, 2020

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2011.13698
Document Type :
Working Paper