Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks

Title
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks
Authors
Keywords
Digital pathology, Co-representation learning, Deep metric learning, Informative triplet sampling, Soft-multi-pair loss, Limited annotations, Nuclei classification, Mitosis detection, Tissue type classification
Journal
MEDICAL IMAGE ANALYSIS
Volume 67, Issue -, Pages 101859
Publisher
Elsevier BV
Online
2020-10-09
DOI
10.1016/j.media.2020.101859

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