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Contrastive Multiple Instance Learning: An Unsupervised Framework for Learning Slide-Level Representations of Whole Slide Histopathology Images without Labels

https://doi.org/10.3390/cancers14235778
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Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Additional file 1 of Translating prognostic quantification of c-MYC and BCL2 from tissue microarrays to whole slide images in diffuse large B-cell lymphoma using deep learning
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