Manfredo Atzori

Tumor proliferation assessment of whole slide images

2018

Grading whole slide images (WSIs) from patient tissue samples is an important task in digital pathology, particularly for diagnosis and treatment planning. However, this visual inspection task, performed by pathologists, is inherently subjective and has …

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 …