Successful development of a pathological clinical diagnosis system for gastric cancer lymph nodes

Successful development of a pathological clinical diagnosis system for gastric cancer lymph nodes

The pathology clinical diagnosis system for gastric cancer lymph nodes was successfully developed.
The pathology clinical diagnosis system for gastric cancer lymph nodes was successfully developed.
The lymph node clinicopathological artificial intelligence diagnosis system can accurately identify micrometastasis professor Liu Xiyang's team.
With the support of the school's "software engineering" discipline construction, it cooperated with Shanghai Longhua Hospital Professor Yu Guanzhen, Changhai Hospital Professor Chen Ying and other teams to carry out gastric cancer The AI ​​research for predicting the prognosis of lymph node metastasis, which lasted for 3 years, has developed an AI system for the clinical diagnosis and precise substaging of gastric cancer lymph node pathology.
Professor Gao Qiang's team worked in depth to explore new methods for cancer prognosis prediction and pathological image-related feature mining based on deep learning for pathological images and clinical information of liver cancer.
(Source: Zhang Xingyong, China Science News) org/10.
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