Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications

Medical Image Analysis

Volumn 18, Issue 2, 2014, Pages 241-252

  Bria, A ^a   Karssemeijer, N ^b   Tortorella, F ^a  

^a UNIVERSITY OF CASSINO AND SOUTHERN LAZIO   (Italy)

^b RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Clustered microcalcifications; Computer aided detection; Mammography; Unbalanced data

Indexed keywords

CALCIFICATION (BIOCHEMISTRY); MAMMOGRAPHY;

AUTOMATED DETECTION; BOOSTING CLASSIFIERS; CLASSIFICATION ERRORS; CLUSTERED MICROCALCIFICATIONS; COMMERCIAL SYSTEMS; COMPUTER AIDED DETECTION; FULL-FIELD DIGITAL MAMMOGRAMS; UNBALANCED DATA;

CLASSIFICATION (OF INFORMATION);

ARTICLE; BIOPSY; BREAST CALCIFICATION; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DIGITAL MAMMOGRAPHY; DISEASE CLASSIFICATION; HUMAN; IMAGE ANALYSIS; IMAGING SOFTWARE; LEARNING ALGORITHM; MAMMOGRAPHY SYSTEM; PRIORITY JOURNAL; ALGORITHM; BREAST TUMOR; CALCINOSIS; FEMALE; IMAGE QUALITY; MAMMOGRAPHY; PROCEDURES; RADIOGRAPHY;

ALGORITHMS; BREAST NEOPLASMS; CALCINOSIS; FEMALE; HUMANS; MAMMOGRAPHY; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 84888787427     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.10.014     Document Type: Article

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