An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 9785, Issue , 2016, Pages

  Qiu, Yuchen ^a   Wang, Yunzhi ^a   Yan, Shiju ^a,b   Tan, Maxine ^a   Cheng, Samuel ^a   Liu, Hong ^a   Zheng, Bin ^a  

^a University of Oklahoma   (United States)

^b UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

Author keywords

Computer aided diagnosis; Deep learning; Digital mammogram; Short term breast cancer risk

Indexed keywords

COMPUTER AIDED INSTRUCTION; DIAGNOSIS; DISEASES; ENGINEERING EDUCATION; FORECASTING; MAMMOGRAPHY; MEDICAL IMAGING; RISK ASSESSMENT; RISK PERCEPTION; X RAY SCREENS;

BREAST CANCER RISK; BREAST CANCER SCREENING; COMPUTER AIDED DIAGNOSIS(CAD); DEEP LEARNING; DIGITAL MAMMOGRAMS; NEGATIVE PREDICTIVE VALUE; POSITIVE PREDICTIVE VALUES; RISK ASSESSMENT MODELS;

COMPUTER AIDED DIAGNOSIS;

EID: 84988896932     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2216275     Document Type: Conference Paper

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