Developed an AI-based breast cancer diagnosis support system with the National Cancer Center

Utilizing the research data of the National Cancer Center, the AI ​​technology for breast cancer diagnosis is completed and the 5th test is completed, and the method of combining the learning model ResNet and FPN (Feature Pyramid Network) and Focal loss are introduced to solve the class imbalance problem.

Target

Breast cancer patients

Launching

September 2019

Objective

Development of AI-based breast cancer diagnosis technology

Breast Cancer Diagnosis
Development of AI technology

Improve cancer diagnosis accuracy using AI software

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