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eess.IV2022
A Deep Reinforcement Learning Framework for Rapid Diagnosis of Whole Slide Pathological Images
Tingting Zheng, Weixing chen, Shuqin Li +7
The deep neural network is a research hotspot for histopathological image analysis, which can improve the efficiency and accuracy of diagnosis for pathologists or be used for disea…
eess.IV2020★ 11 cited
Dynamic radiomics: a new methodology to extract quantitative time-related features from tomographic images
Fengying Che, Ruichuan Shi, Jian Wu +6
The feature extraction methods of radiomics are mainly based on static tomographic images at a certain moment, while the occurrence and development of disease is a dynamic process…