Automated Detection of Breast Mass Spiculation Levels and Evaluation of Scheme Performance

Academic Radiology

Volumn 15, Issue 12, 2008, Pages 1534-1544

  Jiang, Luan ^a   Song, Enmin ^a   Xu, Xiangyang ^a   Ma, Guangzhi ^a   Zheng, Bin ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

Computer aided diagnosis; mammography; mass segmentation; mass spiculation

Indexed keywords

ARTICLE; AUTOMATION; BREAST TUMOR; ENTROPY; HUMAN; MAJOR CLINICAL STUDY; MAMMOGRAPHY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

ADULT; 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: 55349142869     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2008.07.015     Document Type: Article

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