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20182021
most citedResolving challenges in deep learning-based analyses of histopathological images using explanation methods

167 citations · 189 across the 4 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

eess.IV2021

Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning

Marcel Bengs, Satish Pant, Michael Bockmayr +2

Medulloblastoma (MB) is a primary central nervous system tumor and the most common malignant brain cancer among children. Neuropathologists perform microscopic inspection of histop…

eess.IV2021

Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets

Marcel Bengs, Michael Bockmayr, Ulrich Schüller +1

Medulloblastoma (MB) is the most common malignant brain tumor in childhood. The diagnosis is generally based on the microscopic evaluation of histopathological tissue slides. Howev…