Dual-channel Prototype Network for few-shot Classification of Pathological Images

no code implementations • 14 Nov 2023 • Hao Quan, Xinjia Li, Dayu Hu, Tianhang Nan, Xiaoyu Cui

The approach enhances the versatility of prototype representations and elevates the efficacy of prototype networks in few-shot pathological image classification tasks.

Classification Few-Shot Learning +2

A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images

no code implementations • 5 May 2022 • Tingting Zheng, Weixing Chen, Shuqin Li, Hao Quan, Qun Bai, Tianhang Nan, Song Zheng, Xinghua Gao, Yue Zhao, Xiaoyu Cui

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.

Knowledge Distillation reinforcement-learning +2