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Spots Global Cancer Trial Database for Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography

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Trial Identification

Brief Title: Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography

Official Title: Development of Artificial Intelligence System for Detection and Diagnosis of Breast Lesion Using Mammography

Study ID: NCT03708978

Interventions

mammography

Study Description

Brief Summary: 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.

Detailed Description: 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.

Keywords

Eligibility

Minimum Age: 18 Years

Eligible Ages: ADULT, OLDER_ADULT

Sex: FEMALE

Healthy Volunteers: No

Locations

Beijing Cancer Hospital, Beijing, Beijing, China

Beijing Chao Yang Women and Children's Health Hospital, Beijing, Beijing, China

Beijing Da Xing People's Hospital, Beijing, Beijing, China

Beijing Hang Tian Centre Hospital, Beijing, Beijing, China

Beijing Nan Jiao Cancer Hospital, Beijing, Beijing, China

Beijing Shi Jing Shan Hospital, Beijing, Beijing, China

Beijing Shun Yi Qu Hospital, Beijing, Beijing, China

Beijing Shun Yi Woman and Children Health Hospital, Beijing, Beijing, China

Contact Details

Name: Ying-Shi Sun, Professor

Affiliation: Peking University Cancer Hospital & Institute

Role: STUDY_CHAIR

Useful links and downloads for this trial

Clinicaltrials.gov

Google Search Results

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