Hybrid artificial neural network segmentation and classification of dynamic contrast-enhanced MR imaging (DEMRI) of osteosarcoma

Magnetic Resonance Imaging

Volumn 16, Issue 9, 1998, Pages 1075-1083

  Glass, John O ^a,b   Reddick, Wilburn E ^a,b,c  

^a ST JUDE CHILDREN S RESEARCH HOSPITAL   (United States)

^b University of Memphis   (United States)

^c UNIVERSITY OF MEMPHIS   (United States)

Author keywords

Image segmentation and classification; Osteosarcoma; Tumor response

Indexed keywords

CARBOPLATIN; GADOLINIUM PENTETATE; IFOSFAMIDE; MESNA;

ADOLESCENT; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; CANCER CHEMOTHERAPY; CANCER CLASSIFICATION; CHILD; CLINICAL ARTICLE; CLINICAL PROTOCOL; CONTRAST ENHANCEMENT; CORRELATION FUNCTION; FEMALE; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; HYBRID COMPUTER; INTRAVENOUS DRUG ADMINISTRATION; LIMB AMPUTATION; LIMB SALVAGE; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; OSTEOSARCOMA; PRIORITY JOURNAL; TREATMENT OUTCOME; TUMOR NECROSIS;

ADOLESCENT; ADULT; ALGORITHMS; BONE NEOPLASMS; CHILD; FEASIBILITY STUDIES; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; NECROSIS; NEURAL NETWORKS (COMPUTER); OSTEOSARCOMA; RETROSPECTIVE STUDIES; STATISTICS, NONPARAMETRIC;

EID: 0032411188     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0730-725X(98)00137-4     Document Type: Article

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