Self supervised contrastive learning for digital histopathology

• A prompt-aware knowledge-tuning framework for histopathology subtype classification with scarce annotation

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• Graph neural networks in histopathology: Emerging trends and future directions

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• Generalizable biomarker prediction from cancer pathology slides with self-supervised deep learning: A retrospective multi-centric study

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• Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts

  2022 The Lancet Digital Health article Computer Science AI in cancer detection Open access

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• Artificial intelligence in histopathology: enhancing cancer research and clinical oncology

  2022 Nature Cancer article Computer Science AI in cancer detection cited by 1 patent

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• Test Time Transform Prediction for Open Set Histopathological Image Recognition

  2022 Lecture notes in computer science conference-paper Computer Science AI in cancer detection

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• Interpretable Deep Learning Predicts the Molecular Endometrial Cancer Classification from H&E Images: A Combined Analysis of the Portec Randomized Clinical Trials

  2022 SSRN Electronic Journal preprint Computer Science AI in cancer detection Open access

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8 results