1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
CARMIL: Context-Aware Regularization on Multiple Instance Learning models for Whole Slide Images
Thiziri Nait Saada, Valentina Di Proietto, Benoit Schmauch +2
Multiple Instance Learning (MIL) models have proven effective for cancer prognosis from Whole Slide Images. However, the original MIL formulation incorrectly assumes the patches of…
eess.IV2023★ 1 cited
Trustworthy Deep Learning for Medical Image Segmentation
Lucas Fidon
Despite the recent success of deep learning methods at achieving new state-of-the-art accuracy for medical image segmentation, some major limitations are still restricting their de…