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HistoSSL: Self-Supervised Representation Learning for Classifying Histopathology Images

The success of image classification depends on copious annotated images for training. Annotating histopathology images is costly and laborious. Although several successful self-supervised representation learning approaches have been introduced, they are still insufficient to consider the unique char...

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Principais autores: Xu Jin, Teng Huang, Ke Wen, Mengxian Chi, Hong An
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-12-01
coleção:Mathematics
Assuntos:
digital pathology
self-supervised learning
histopathology image classification
contrastive learning
knowledge distillation
Acesso em linha:https://www.mdpi.com/2227-7390/11/1/110
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