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AI in Clinical Pathological Image Analysis
AI can assist pathology in every stage in the pathological workflow by improving consistency, accuracy and efficiency. In this talk I will introduce our work in AI enhanced gross sampling process, AI assisted microscope, and reducing the manual labeling workload for pathology image analysis. I will also introduce a few comprehensive reader studies to validate that AI technologies can be deployed in clinical practice.

Dec 9, 2022 05:00 PM in Hong Kong SAR

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Dr. Jianhua Yao
@Tencent AI Lab
Dr. Jianhua Yao is currently the AI Healthcare chief scientist in Tencent AI Lab. His research areas include medical image analysis, precision medicine, genomic data analysis, and computer assisted surgery. His google citations are over 16000, with h-index 52. He serves in the editorial board for several AI medical imaging journals, and as area chairs for several AI conferences. Dr. Yao holds a PhD degree in Computer Science from the Johns Hopkins University. Dr. Yao is a fellow of AIMBE and AAIA.