A review of automatic mass detection and segmentation in mammographic images

Medical Image Analysis

Volumn 14, Issue 2, 2010, Pages 87-110

  Oliver, Arnau ^a   Freixenet, Jordi ^a   Martí, Joan ^a   Pérez, Elsa ^b   Pont, Josep ^b   Denton, Erika R E ^c   Zwiggelaar, Reyer ^d  

^a UNIVERSITY OF GIRONA   (Spain)

^b HOSPITAL JOSEP TRUETA   (Spain)

^c NORFOLK AND NORWICH UNIVERSITY HOSPITAL   (United Kingdom)

^d ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Automatic segmentation; Breast mass detection; Computer Aided Diagnosis systems; Digital mammography; FROC analysis

Indexed keywords

AUTOMATIC DETECTION; AUTOMATIC SEGMENTATIONS; BREAST MASS DETECTION; COMPUTER-AIDED DIAGNOSIS SYSTEM; DIGITAL DATABASE; DIGITAL MAMMOGRAPHY; FREE-RESPONSE RECEIVERS; FULL-FIELD; KEY OBJECTIVE; MAMMOGRAPHIC; MAMMOGRAPHIC IMAGES; MASS DETECTION; QUANTITATIVE COMPARISON; RECEIVER OPERATING CHARACTERISTICS;

COMPUTER AIDED ANALYSIS; DATABASE SYSTEMS; MAMMOGRAPHY; TUMORS; X RAY SCREENS;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; AUTOANALYSIS; BREAST LESION; BREAST TUMOR; CANCER DIAGNOSIS; CLASSIFICATION ALGORITHM; DIGITAL IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INTERMETHOD COMPARISON; MAMMOGRAPHY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; FEMALE; HUMANS; MAMMOGRAPHY; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 75749149659     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2009.12.005     Document Type: Article

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