Chongchong Zhang

Government of the People's Republic of China - Department of Pathology

China

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3

Scholarly Papers (1)

1.

Comprehensive AI Model Development for Gleason Grading: From Scanning, Cloud-Based Annotation to Pathologist-AI Interaction

Number of pages: 33 Posted: 25 Jul 2022
Agency for Science, Technology and Research (A*STAR) - Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR) - Bioinformatics Institute, National University of Singapore (NUS) - National University Hospital, University of Tartu - Institute of Molecular and Cell Biology, National University of Singapore (NUS) - National University Hospital, Government of the People's Republic of China - Department of Pathology, Government of the People's Republic of China - Department of Pathology, Southern Medical University - Department of Pathology, Agency for Science, Technology and Research (A*STAR) - Bioinformatics Institute, University of Tartu - Institute of Molecular and Cell Biology, University of Tartu - Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR) - Bioinformatics Institute, Nanjing University of Information Science & Technology (NUIST) - Jiangsu Key Laboratory of Big Data Analysis Technique, Hangzhou Medical College - Cancer Center, University of California, San Diego (UCSD) - Department of Psychiatry, Agency for Science, Technology and Research (A*STAR) - Bioinformatics Institute, National University of Singapore (NUS) - National University Hospital, Agency for Science, Technology and Research (A*STAR) - Bioinformatics Institute and National University of Singapore (NUS) - National University Hospital
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Abstract:

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Digital Pathology, artificial intelligence, deep learning, Prostate Cancer, Pathologist-AI Interaction, Incremental Learning, Cloud Annotation, WSI Image Quality Control