A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: A preliminary assessment

European Journal of Radiology

Volumn 83, Issue 7, 2014, Pages 1086-1091

  Yang, Qian ^a   Li, Lihua ^a   Zhang, Juan ^b   Shao, Guoliang ^b   Zheng, Bin ^a,c  

^a HANGZHOU DIANZI UNIVERSITY   (China)

^b ZHEJIANG CANCER HOSPITAL   (China)

^c USA   (United States)

Author keywords

Breast cancer; Cancer image biomarker; Computer aided diagnosis (CAD); Dynamic contrast enhanced breast magnetic resonance imaging (DCE MRI)

Indexed keywords

ADULT; ARTICLE; BENIGN TUMOR; BREAST CANCER; COMPUTER ASSISTED DIAGNOSIS; CONTRAST ENHANCEMENT; FEASIBILITY STUDY; FEMALE; HUMAN; IMAGE ANALYSIS; MAJOR CLINICAL STUDY; MALIGNANT NEOPLASTIC DISEASE; MATHEMATICAL COMPUTING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; DIAGNOSTIC USE; IMAGE ENHANCEMENT; MIDDLE AGED; PATHOLOGY; PILOT STUDY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

CONTRAST MEDIUM; GADOLINIUM PENTETATE;

ADULT; ALGORITHMS; BREAST NEOPLASMS; CONTRAST MEDIA; FEASIBILITY STUDIES; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; PILOT PROJECTS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84902251534     PISSN: 0720048X     EISSN: 18727727     Source Type: Journal    
DOI: 10.1016/j.ejrad.2014.03.014     Document Type: Article

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