A closer look onto breast density with weakly supervised dense-tissue masks - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

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

Résumé

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.

Dates et versions

hal-02463094 , version 1 (31-01-2020)

Identifiants

Citer

Mickael Tardy, Bruno Scheffer, Diana Mateus. A closer look onto breast density with weakly supervised dense-tissue masks. Medical Imaging with Deep Learning MIDL 2019, Jul 2019, London, United Kingdom. ⟨hal-02463094⟩
55 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More