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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.
A deep learning-based approach for the automated surface inspection of copper clad laminate images
A machine vision-based surface quality inspection system is usually composed of two processes: image acquisition and automatic defect detection.
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