Henning Muller

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification

2021 · Archive ouverte UNIGE (University of Geneva)

<b>Background: </b>One challenge to train deep convolutional neural network (CNNs) models with whole slide images (WSIs) is providing the required large number of costly, manually annotated image regions. Strategies to alleviate the scarcity of annotated …