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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…
eess.IV2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin +5
Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better unde…