Characterizing the clustered microcalcifications on mammograms to predict the pathological classification and grading: A mathematical modeling approach

Journal of Digital Imaging

Volumn 24, Issue 5, 2011, Pages 764-771

  Shao, Yuan Zhi ^b   Liu, Li Zhi ^a   Bie, Meng Jie ^b   Li, Chan Chan ^a   Wu, Yao Pan ^a   Xie, Xiao Ming ^a   Li, Li ^a  

^a SUN YAT SEN UNIVERSITY CANCER CENTER   (China)

^b SUN YAT SEN UNIVERSITY   (China)

Author keywords

Algorithms; Breast diseases; Clustered microcalcification detection; Computer aided diagnosis (CAD); Mammography CAD

Indexed keywords

BREAST CANCER; BREAST DISEASE; CLUSTERED MICROCALCIFICATIONS; COMPARATIVE EVALUATIONS; DUCTAL CARCINOMA; FEATURE PARAMETERS; FORM FACTORS; IMAGE PARAMETERS; MATHEMATICAL MODELING; MICROCALCIFICATION CLUSTERS; MICROCALCIFICATIONS; MODELING ANALYSIS; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC ANALYSIS;

ALGORITHMS; APPROXIMATION THEORY; COMPUTER AIDED DIAGNOSIS; FORECASTING; GRADING; MAMMOGRAPHY; MATHEMATICAL MODELS; X RAY SCREENS;

CALCIFICATION (BIOCHEMISTRY);

ARTICLE; BREAST TUMOR; CALCINOSIS; CLASSIFICATION; DIFFERENTIAL DIAGNOSIS; DOUBLE BLIND PROCEDURE; FEMALE; HUMAN; MAMMOGRAPHY; PATHOLOGY; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; THEORETICAL MODEL;

BREAST NEOPLASMS; CALCINOSIS; DIAGNOSIS, DIFFERENTIAL; DOUBLE-BLIND METHOD; FEMALE; HUMANS; MAMMOGRAPHY; MODELS, THEORETICAL; PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES; ROC CURVE;

EID: 84855576467     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-011-9381-2     Document Type: Article

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