Artificial Neural Networks for differential diagnosis of breast lesions in MR-Mammography: A systematic approach addressing the influence of network architecture on diagnostic performance using a large clinical database

European Journal of Radiology

Volumn 81, Issue 7, 2012, Pages 1508-1513

  Dietzel, Matthias ^a   Baltzer, Pascal A T ^a   Dietzel, Andreas ^b   Zoubi, Ramy ^a   Gröschel, Tobias ^a   Burmeister, Hartmut P ^a   Bogdan, Martin ^b   Kaiser, Werner A ^a,c  

^a FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^b UNIVERSITY OF TÜBINGEN   (Germany)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Artificial Neural Networks; Breast; Computer aided diagnosis; Diagnostic imaging; Lesion characterization; Magnetic resonance imaging; Neoplasms Primary; Pathology

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST FIBROADENOMA; BREAST LESION; CANCER DIAGNOSIS; CANCER INVASION; CLINICAL PROTOCOL; CONSENSUS; CYSTOSARCOMA PHYLLOIDES; DATA BASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; FEMALE; FIBROCYSTIC BREAST DISEASE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; IMAGE QUALITY; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MAMMOGRAPHY; MASTITIS; MUCINOUS CARCINOMA; NUCLEAR MAGNETIC RESONANCE IMAGING; PAPILLARY CARCINOMA; PREDICTIVE VALUE; PRIORITY JOURNAL; RADIOLOGIST; RECEIVER OPERATING CHARACTERISTIC;

ALGORITHMS; AREA UNDER CURVE; BREAST NEOPLASMS; CONTRAST MEDIA; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; FEMALE; GADOLINIUM DTPA; HUMANS; MAGNETIC RESONANCE IMAGING; MAMMOGRAPHY; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; ROC CURVE;

EID: 84861642535     PISSN: 0720048X     EISSN: 18727727     Source Type: Journal    
DOI: 10.1016/j.ejrad.2011.03.024     Document Type: Article

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