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

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A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images Tingting Zheng1, Weixing chen2, Shuqin Li1, Hao Quan1, Qun Bai1, Tianhang Nan1, Song Zheng3, Xinghua Gao3, Yue Zhao1 and Xiaoyu Cui1* 1 College of Medicine and Biological Information Engineering, Northeastern University, Shen- yang, 110169, China *Corresponding author :{cuixy }@bmie.neu.edu.cn 2 Shenzhen College of Advanced Technology , University of the Chinese Academy of Sciences, Beijing 100049, China 3 NHC Key Laboratory of Immunodermatology (China Medical University), No.155 Nanjing Bei Street, Heping District, Shenyang, Liao ning Province, 110001, China. Abstract. Deep neural network is a research hotspot on histopathological image analysis, which can improve the efficiency and accuracy of diagnosis for pathologists or be used for disease screening. The whole slide pathological image can reach one gigapixel and contains abundant tissue feature information, whic...

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• [1] https://arxiv.org/abs/2205.02850