output
20032025
most citedPrimary liver cancer classification from routine tumour biopsy using weakly supervised deep learning

34 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

3 papers · 1 filter

math.PR2023

Toward organ shortage resilient allocation policies using real-time queueing models for liver transplantation

Thomas Masanet, Benoît Audry, Christian Jacquelinet +1

We report in this paper on the potential interest of real-time queueing models to optimize organ allocation policies. We especially focus on building organ shortage resilient polic…

eess.IV2023

A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer

Aymen Sadraoui, Ségolène Martin, Eliott Barbot +4

This paper presents a new approach for classifying 2D histopathology patches using few-shot learning. The method is designed to tackle a significant challenge in histopathology, wh…

q-bio.TO2023

Evaluation of the mitotic score of invasive breast carcinomas on digital slide: development and contribution of a mitosis detection algorithm

Loris Guichard, Clara Simmat, Margot Dupeux +6

Introduction: Nottingham grading system is a major prognostic factor for invasive breast carcinoma (IBC). Its determination requires the evaluation of the mitotic score (MS) which…