CHAIR: SHAN RAZA
14.45 - 15.00 Oliver Lester Saldanha - Swarm learning for decentralized deep learning in gastric cancer histopathology
15.00 - 15.15 Niclas Blessin - BLEACH&STAIN, a novel multiplex fluorescence immunohistochemistry framework that facilitates a fast high throughput analysis of >15 biomarkers in more than 3000 human carcinomas
15.15 - 15.30 Julie Swillens - Pathologists’ first perspectives on barriers and facilitators of computational pathology implementation in histopathology
15.30 - 15.45 Maschenka Balkenhol - The prognostic value of deep learning based mitotic count for breast cancer molecular subtypes
15.45 - 15.50 Break
15.50 - 16.05 Fabio Pagni - Pathologist validation of a machine learned biomarker for risk stratification in colon cancer
16.05 - 16.20 John Connelly - Predicting genetic variation from quantitative tissue phenotypes using explainable machine learning
16.20 - 16.35 Muhammad Aslam - Successful deployment of an AI solution for primary diagnosis of prostate biopsies in clinical practice
16.35 - 16.45 Best Abstract Awards