Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography
Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography
This project aims to establish a comprehensive artificial intelligence system for detecting
 and qualitative diagnosing breast lesions. Mammary images will be used to construct a
 diagnosis method based on deep learning. The system is proposed to automatically analyze the
 type of mammary glands, automatically identify and mark all breast lesions on the mammography
 images, provide the malignancy probability judgment of the lesions, the BI-RADS
 classification and the clinical suggestion, and also automatically generate the structured
 diagnosis report.
This is a multi-center study.The project contains a retrospective part(3000 samples
 anticipated) and a prospective part(7000 samples anticipated). In the retrospective part,
 investigators collected subjects with mammary images to design the deep learning method and
 construct a detective and diagnostic model for breast lesions. In the prospective part,
 investigators validate the accuracy of the constructed deep learning method, and established
 artificial intelligence system focusing on mammary diagnosis. Investigators will also explore
 the application pattern of the artificial intelligence system in clinical practice.
Inclusion Criteria:

 -  the X-ray images of the breast were complete

 -  the results of pathological diagnosis or more than 2 years of mammography follow-up
 were available

 -  subject signs informed consent(this item was only for prospective study cases)

 Exclusion Criteria:

 -  there exists pathological diagnosis of breast lesions when receiving mammography

 -  there lacks pathological diagnosis or 2 years of mammography follow-up

 -  subject withdraws(this item was only for prospective study cases)