A use of a neural network to evaluate contrast enhancement curves in breast magnetic resonance images

Journal of Digital Imaging

Volumn 14, Issue 2 SUPPL. 1, 2001, Pages 58-59

  Vergnaghi, D ^a   Monti, A ^a   Setti, E ^a   Musumeci, R ^a  

^a NATIONAL CANCER INSTITUTE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BIOMECHANICS; BIOMEDICAL ENGINEERING; COMPUTER AIDED DIAGNOSIS; MAGNETIC RESONANCE IMAGING; PATHOLOGY; PERSONNEL; TISSUE;

APOLLONI-RONCHINI ALGORITHM; BILATERAL BREAST COIL; BREAST CANCER; PARAMAGNETIC CONTRAST MEDIUM; RADIOLOGIST; THREE DIMENSIONAL SPOILED GRADIENT ECHO SEQUENCE; TIME-INTENSITY ENHANCEMENT CURVE;

FEEDFORWARD NEURAL NETWORKS;

CONTRAST MEDIUM; DIAGNOSTIC AGENT; GADOLINIUM PENTETATE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BREAST; BREAST TUMOR; FEMALE; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; SENSITIVITY AND SPECIFICITY;

BREAST; BREAST NEOPLASMS; CONTRAST MEDIA; FEMALE; GADOLINIUM DTPA; HUMANS; MAGNETIC RESONANCE IMAGING; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY;

EID: 0035354097     PISSN: 08971889     EISSN: None     Source Type: Journal    
DOI: 10.1007/bf03190297     Document Type: Conference Paper

References (6)

1. Dynamic breast MR imaging: Are signal intensity time course data useful for differential diagnosis of enhancing lesions?
2. Neural network analysis of breast cancer from MRI findings
3. Neural network-based analysis of MR time series
4. Learning internal representations by back-propagation errors
5. Dynamic sizing of multilayer perceptions