Computerized Assessment of Breast Lesion Malignancy using DCE-MRI. Robustness Study on Two Independent Clinical Datasets from Two Manufacturers

Academic Radiology

Volumn 17, Issue 7, 2010, Pages 822-829

  Chen, Weijie ^a,b   Giger, Maryellen L ^a   Newstead, Gillian M ^a   Bick, Ulrich ^a,c   Jansen, Sanaz A ^a   Li, Hui ^a   Lan, Li ^a  

^a UNIVERSITY OF CHICAGO   (United States)

^b CENTER FOR DEVICES AND RADIOLOGICAL HEALTH   (United States)

^c CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

breast MRI; Computer aided diagnosis; robustness

Indexed keywords

ADULT; AGED; ARTICLE; BAYES THEOREM; BREAST CANCER; BREAST DISEASE; CANCER CLASSIFICATION; CLINICAL EVALUATION; COMPUTER ANALYSIS; COMPUTER ASSISTED RADIOGRAPHY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC IMAGING; DIFFERENTIAL DIAGNOSIS; FEASIBILITY STUDY; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; REFERENCE DATABASE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BREAST NEOPLASMS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DEVICE FAILURE ANALYSIS; DEVICES; EQUIPMENT DESIGN; EVALUATION STUDY; FEMALE; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BREAST NEOPLASMS; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77952893339     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2010.03.007     Document Type: Article

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