most citedImproving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 1 cited

Deep Learning-based mitosis detection in breast cancer histologic samples

Michel Halmes, Hippolyte Heuberger, Sylvain Berlemont

This is the submission for mitosis detection in the context of the MIDOG 2021 challenge. It is based on the two-stage objection model Faster RCNN as well as DenseNet as a backbone…

cs.CV2020★ 1 cited

Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations

Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont +2

Deep learning methods are widely used for medical applications to assist medical doctors in their daily routines. While performances reach expert's level, interpretability (highlig…