Application of artificial neural networks to the analysis of dynamic MR imaging features of the breast

European Radiology

Volumn 14, Issue 7, 2004, Pages 1217-1225

  Szabó, Botond K ^a   Wiberg, Maria Kristoffersen ^a   Boné, Beata ^a   Aspelin, Peter ^a  

^a KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Artificial neural networks; Breast cancer; Magnetic resonance imaging

Indexed keywords

GADOLINIUM PENTETATE MEGLUMINE; MAGNIVEST;

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST CANCER; BREAST LESION; CANCER DIAGNOSIS; CLINICAL TRIAL; COMPUTER MODEL; COMPUTER PROGRAM; COMPUTER SYSTEM; CONTRAST ENHANCEMENT; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; DIAGNOSTIC VALUE; FEMALE; FUNCTIONAL ASSESSMENT; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; INTERMETHOD COMPARISON; KINETICS; LEARNING; MAJOR CLINICAL STUDY; MEDICAL EXPERT; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; RADIOLOGIST; RANDOMIZED CONTROLLED TRIAL; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING;

ADULT; AGED; AGED, 80 AND OVER; BREAST; BREAST DISEASES; BREAST NEOPLASMS; CONTRAST MEDIA; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; GADOLINIUM DTPA; HUMANS; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); ROC CURVE;

EID: 3242777061     PISSN: 09387994     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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