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Intelligent analysis and auxiliary diagnostic methods of medical images

组织者

奇特拉迪帕·查克拉博蒂 , 董昂 , 邬荣领

演讲者

Liangliang Liu

时间

2025年05月23日 17:01 至 18:00

地点

A3-1-301

线上

Zoom 468 248 1222 (BIMSA)

摘要

The rapid expansion of medical imaging data has posed significant challenges to clinical diagnosis while simultaneously highlighting the potential of deep learning methods, which excel in big data mining and analysis. In recent years, artificial intelligence techniques have shown remarkable capabilities in medical image-assisted diagnosis research. This report aims to systematically review deep learning approaches applied to CT, MRI, and pathological images. Drawing on the research experience of the presenter's team in medical image processing and analysis, the report will cover key research areas, including lesion segmentation, classification, and prediction. These advanced methods not only enhance diagnostic accuracy and efficiency but also provide robust technical support for the development of intelligent analysis and auxiliary diagnosis systems in medical imaging.