Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification

Medical Physics

Volumn 41, Issue 3, 2014, Pages

  Drukker, Karen ^a   Duewer, Fred ^b   Giger, Maryellen L ^a   Malkov, Serghei ^b   Flowers, Chris I ^c   Joe, Bonnie ^b   Kerlikowske, Karla ^b   Drukteinis, Jennifer S ^d   Li, Hui ^a   Shepherd, John A ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

^d H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

Author keywords

4 compartment breast imaging; breast cancer; computer aided diagnosis; dual energy mammography; quantitative image analysis

Indexed keywords

BIOPSY; COMPUTER AIDED ANALYSIS; COMPUTER AIDED DIAGNOSIS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; MAMMOGRAPHY; MEDICAL IMAGING;

AREA UNDER THE ROC CURVE; BREAST CANCER; BREAST IMAGING; DUAL-ENERGY MAMMOGRAPHIES; PERFORMANCE ASSESSMENT; QUANTITATIVE IMAGE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; STATISTICAL SIGNIFICANCE;

IMAGE ANALYSIS;

LIPID; PROTEIN; WATER;

ARTICLE; BREAST BIOPSY; BREAST CARCINOMA; BREAST FIBROADENOMA; BREAST LESION; BREAST TUMOR; CLINICAL ARTICLE; CONTROLLED STUDY; DIGITAL MAMMOGRAPHY; DISEASE CLASSIFICATION; DUAL ENERGY MAMMOGRAPHY; ENTROPY; FEMALE; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INTRADUCTAL CARCINOMA; MAMMOGRAPHY SYSTEM; QUANTITATIVE ANALYSIS; RADIOLOGIST; AUTOMATION; BIOPSY; BREAST; CHEMISTRY; CLINICAL TRIAL; COMPUTER ASSISTED DIAGNOSIS; MAMMOGRAPHY; METHODOLOGY; PATHOLOGY; PROBABILITY; PROSPECTIVE STUDY; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC;

AUTOMATION; BIOPSY; BREAST; BREAST NEOPLASMS; FEMALE; HUMANS; LIPIDS; MAMMOGRAPHY; PROBABILITY; PROSPECTIVE STUDIES; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE; WATER;

EID: 84896854756     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4866221     Document Type: Article

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