A novel and fully automated mammographic texture analysis for risk prediction: Results from two case-control studies

Breast Cancer Research

Volumn 19, Issue 1, 2017, Pages

  Wang, Chao ^a   Brentnall, Adam R ^a   Cuzick, Jack ^a   Harkness, Elaine F ^b   Evans, D Gareth ^b   Astley, Susan ^b  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

Breast cancer; Breast density; Digital mammogram; Risk prediction; Texture

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BREAST CANCER; BREAST DENSITY; CANCER RISK; CANCER SCREENING; CASE CONTROL STUDY; CONTROLLED STUDY; DIGITAL MAMMOGRAPHY; DOUBLE BLIND PROCEDURE; FEMALE; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MIDDLE AGED; PREDICTIVE VALUE; RISK ASSESSMENT; STANDARDIZATION; TYRER CUZICK RISK SCORE; VALIDATION STUDY; BREAST; BREAST TUMOR; DIAGNOSTIC IMAGING; IMAGE PROCESSING; MAMMOGRAPHY; PATHOLOGY; PROCEDURES; RISK FACTOR; STATISTICAL MODEL;

AGED; ALGORITHMS; BREAST; BREAST DENSITY; BREAST NEOPLASMS; CASE-CONTROL STUDIES; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LOGISTIC MODELS; MAMMOGRAPHY; MIDDLE AGED; RISK ASSESSMENT; RISK FACTORS;

EID: 85031670692     PISSN: 14655411     EISSN: 1465542X     Source Type: Journal    
DOI: 10.1186/s13058-017-0906-6     Document Type: Article

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