output
20182023
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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eess.IV2023★ 12 cited

Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study

Vladimir Despotovic, Sang-Yoon Kim, Ann-Christin Hau +6

We provide in this paper a comprehensive comparison of various transfer learning strategies and deep learning architectures for computer-aided classification of adult-type diffuse…