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Found 3 papers, 1 papers with code
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
It involves instance sampling, feature representation, and decision-making.
Global Contrast Masked Autoencoders Are Powerful Pathological Representation Learners
Based on digital pathology slice scanning technology, artificial intelligence algorithms represented by deep learning have achieved remarkable results in the field of computational pathology.
A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images
Inspired by the pathologist's clinical diagnosis process, we propose a weakly supervised deep reinforcement learning framework, which can greatly reduce the time required for network inference.
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