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

标题
Reducing annotation effort in digital pathology: A Co-Representation learning framework for classification tasks
作者
关键词
Digital pathology, Co-representation learning, Deep metric learning, Informative triplet sampling, Soft-multi-pair loss, Limited annotations, Nuclei classification, Mitosis detection, Tissue type classification
出版物
MEDICAL IMAGE ANALYSIS
Volume 67, Issue -, Pages 101859
出版商
Elsevier BV
发表日期
2020-10-09
DOI
10.1016/j.media.2020.101859

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