Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk

Annals of Biomedical Engineering

Volumn 43, Issue 10, 2015, Pages 2416-2428

  Tan, Maxine ^a   Pu, Jiantao ^b   Cheng, Samuel ^a   Liu, Hong ^a   Zheng, Bin ^a,b  

^a USA   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Breast cancer; Computer aided detection (CAD); Full field digital mammography (FFDM); Mammographic density feature analysis; Near term breast cancer risk stratification

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED ANALYSIS; DISEASES; FORECASTING; IMAGE FUSION; MAMMOGRAPHY; MEDICAL IMAGING; NEURAL NETWORKS; REGRESSION ANALYSIS; RISK ASSESSMENT; TEXTURES; X RAY SCREENS;

BREAST CANCER; BREAST CANCER RISK; COMPUTER-AIDED DETECTION; FULL FIELD DIGITAL MAMMOGRAPHY; MAMMOGRAPHIC DENSITY;

IMAGE TEXTURE;

ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; CANCER CLASSIFICATION; CANCER RISK; CANCER SCREENING; CLINICAL FEATURE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIGITAL MAMMOGRAPHY; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; MAJOR CLINICAL STUDY; MAMMOGRAPHY; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; AGED; BIOLOGICAL MODEL; BREAST TUMOR; DIAGNOSTIC IMAGING; IMAGE PROCESSING; MIDDLE AGED; PROCEDURES; RETROSPECTIVE STUDY;

ADULT; AGED; BREAST NEOPLASMS; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAMMOGRAPHY; MIDDLE AGED; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); RETROSPECTIVE STUDIES;

EID: 84941878738     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-015-1316-5     Document Type: Article

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