High-throughput mammographic-density measurement: a tool for risk prediction of breast cancer

Breast Cancer Research

Volumn 14, Issue 4, 2012, Pages

  Li, Jingmei ^a,b   Szekely, Laszlo ^a   Eriksson, Louise ^a   Heddson, Boel ^c   Sundbom, Ann ^d   Czene, Kamila ^a   Hall, Per ^a   Humphreys, Keith ^a  

^a KAROLINSKA INSTITUTE   (Sweden)

^b GENOME INSTITUTE OF SINGAPORE   (Singapore)

^c Mammography Skåne ^*  (Sweden)

^d STOCKHOLM SÖDER HOSPITAL   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; BREAST CANCER; CANCER RISK; COMPUTER PROGRAM; CONTROLLED STUDY; FEMALE; GOLD STANDARD; HIGH THROUGHPUT SCREENING; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MAMMOGRAPHY; MEASUREMENT; RISK ASSESSMENT; STATISTICAL MODEL; AREA UNDER THE CURVE; ARTIFICIAL INTELLIGENCE; BREAST TUMOR; CASE CONTROL STUDY; CONGENITAL MALFORMATION; EARLY DIAGNOSIS; IMAGE PROCESSING; MAMMARY GLAND; MIDDLE AGED; PROCEDURES; RADIOGRAPHY; RISK FACTOR; STANDARDS;

AGED; AREA UNDER CURVE; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; CASE-CONTROL STUDIES; EARLY DETECTION OF CANCER; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAMMARY GLANDS, HUMAN; MAMMOGRAPHY; MIDDLE AGED; RISK ASSESSMENT; RISK FACTORS;

EID: 84864356747     PISSN: 14655411     EISSN: 1465542X     Source Type: Journal    
DOI: 10.1186/bcr3238     Document Type: Article

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