Using dose-surface maps to predict radiation-induced rectal bleeding: A neural network approach

Physics in Medicine and Biology

Volumn 54, Issue 17, 2009, Pages 5139-5153

  Buettner, Florian ^a   Gulliford, Sarah L ^a   Webb, Steve ^a   Partridge, Mike ^a  

^a INSTITUTE OF CANCER RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AREA UNDER THE ROC CURVE; CLASSIFICATION METHODS; CROSS VALIDATION; DOSE DISTRIBUTIONS; DOSE-VOLUME PARAMETERS; ENSEMBLE LEARNING; MORPHOLOGICAL ASPECTS; NEURAL NET; PREDICTIVE MODELS; PREDICTIVE POWER; RADIATION-INDUCED; RECTAL WALL; SPATIAL DISTRIBUTION; SURFACE MAP; TEST SETS; TRAINING SETS;

ELECTRIC LOAD MANAGEMENT; PREDICTIVE CONTROL SYSTEMS; RADIOTHERAPY; SIZE DISTRIBUTION; TWO DIMENSIONAL;

NEURAL NETWORKS;

AREA UNDER THE CURVE; ARTICLE; CLINICAL TRIAL; FEMALE; HISTOGRAM; HUMAN; MAJOR CLINICAL STUDY; MALE; MORPHOLOGY; PERFORMANCE; PRIORITY JOURNAL; RADIATION DOSE DISTRIBUTION; RECEIVER OPERATING CHARACTERISTIC; RECTUM HEMORRHAGE; TWO DIMENSIONAL ECHOCARDIOGRAPHY; VOLUMETRY; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BLEEDING; RADIATION DOSE; RADIATION EXPOSURE; RADIATION INJURY; RECTUM; REPRODUCIBILITY; ROC CURVE;

HEMORRHAGE; HUMANS; MALE; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); RADIATION DOSAGE; RADIATION INJURIES; RADIOTHERAPY DOSAGE; RECTUM; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 70350493527     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/54/17/005     Document Type: Article

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