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

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

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 gliomas. We evaluate the generalizability of out-of-domain ImageNet representations for a target domain of histopatholog...

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Bibliographic Details
Main Authors: Vladimir Despotovic, Sang-Yoon Kim, Ann-Christin Hau, Aliaksandra Kakoichankava, Gilbert Georg Klamminger, Felix Bruno Kleine Borgmann, Katrin B.M. Frauenknecht, Michel Mittelbronn, Petr V. Nazarov
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Digital pathology
Whole slide images
Glioma
Deep learning
Transfer learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024035461

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http://www.sciencedirect.com/science/article/pii/S2405844024035461

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