A genetic algorithm-based method for optimizing the performance of a computer-aided diagnosis scheme for detection of clustered microcalcifications in mammograms

Medical Physics

Volumn 25, Issue 9, 1998, Pages 1613-1620

  Anastasio, Mark A ^a   Yoshida, Hiroyuki ^a   Nagel, Rufus ^a   Nishikawa, Robert M ^a   Doi, Kunio ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Clustered microcalcifications; Computer aided diagnosis; Genetic algorithms; Mammography; Optimization

Indexed keywords

CALCIFICATION (BIOCHEMISTRY); COST FUNCTIONS; GENETIC ALGORITHMS; IMAGE SEGMENTATION; MAMMOGRAPHY; OPTIMIZATION; X RAY SCREENS;

CLUSTERED MICROCALCIFICATIONS; COMPUTER AIDED DIAGNOSIS(CAD); DIAGNOSTIC ACCURACY; DIGITIZED MAMMOGRAMS; FALSE POSITIVE RATES; OPTIMAL PERFORMANCE; REGION OF INTEREST; UNIVERSITY OF CHICAGO;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; BREAST CALCIFICATION; BREAST CANCER; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; EARLY DIAGNOSIS; GENETIC ANALYSIS; IMAGE ANALYSIS; MAMMOGRAPHY; PRIORITY JOURNAL;

EID: 0031707051     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.598341     Document Type: Article

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