Fluoroscopic gating without implanted fiducial markers for lung cancer radiotherapy based on support vector machines

Physics in Medicine and Biology

Volumn 53, Issue 16, 2008, Pages

  Cui, Ying ^a   Dy, Jennifer G ^a   Alexander, Brian ^b   Jiang, Steve B ^c  

^a Northeastern University   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); ELECTROTHERAPEUTICS; FORECASTING; GEARS; IDENTIFICATION (CONTROL SYSTEMS); IMAGE ENHANCEMENT; IMAGE RETRIEVAL; LEARNING SYSTEMS; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; OCCUPATIONAL RISKS; RADAR TARGET RECOGNITION; RADIOTHERAPY; TEMPLATE MATCHING; VECTORS;

CLASSIFICATION METHODS; CLINICAL ROUTINE; CURRENT STATE; DATA SETS; DUTY CYCLES; EFFICIENT ALGORITHMS; EXTERNAL-; FLUOROSCOPIC IMAGING; GATED RADIOTHERAPY; GATING SIGNALS; GROUND TRUTH; IMPLANTED FIDUCIAL; LABELED TRAINING DATA; LUNG CANCERS; PATIENT SETUP; PREDICTION MODELING; RESPIRATORY SURROGATES; SUPPORT-VECTOR MACHINE; SVM MODEL; TEMPLATE MATCHING METHOD; TEMPLATE MATCHING METHODS; TRAINING IMAGES; TREATMENT MODALITY;

SUPPORT VECTOR MACHINES;

ACCURACY; ARTICLE; CANCER RADIOTHERAPY; CLASSIFICATION; FLUOROSCOPY; INTERMETHOD COMPARISON; LUNG CANCER; MODEL; PRIORITY JOURNAL; RADIATION DOSE; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FLUOROSCOPY; HUMANS; LUNG NEOPLASMS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY, COMPUTER-ASSISTED;

EID: 51849155575     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/53/16/N01     Document Type: Article

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