arXiv Open Access 2019

A closer look onto breast density with weakly supervised dense-tissue masks

Mickael Tardy Bruno Scheffer Diana Mateus

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This work focuses on the automatic quantification of the breast density from digital mammography imaging. Using only categorical image-wise labels we train a model capable of predicting continuous density percentage as well as providing a pixel wise support frit for the dense region. In particular we propose a weakly supervised loss linking the density percentage to the mask size.

Topik & Kata Kunci

eess.IV

Penulis (3)

Mickael Tardy

Bruno Scheffer

Diana Mateus

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Tardy, M., Scheffer, B., Mateus, D. (2019). A closer look onto breast density with weakly supervised dense-tissue masks. https://arxiv.org/abs/1907.11860

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Tahun Terbit: 2019
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓