Technical aspects and evaluation methodology for the application of two automated brain MRI tumor segmentation methods in radiation therapy planning

Magnetic Resonance Imaging

Volumn 24, Issue 9, 2006, Pages 1167-1178

  Beyer, Gloria P ^a   Velthuizen, Robert P ^b   Murtagh, F Reed ^a   Pearlman, James L ^a  

^a H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

^b UNILEVER RESEARCH   (United Kingdom)

Author keywords

Automatic segmentation; Brain tumor volume; k Nearest neighbor; Knowledge guided; Magnetic resonance imaging; Radiation treatment planning

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATION; BRAIN TUMOR; CANCER DIAGNOSIS; CANCER RADIOTHERAPY; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC PROCEDURE; EVALUATION; HUMAN; INTERMETHOD COMPARISON; NUCLEAR MAGNETIC RESONANCE IMAGING; ONCOLOGY; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; THREE DIMENSIONAL IMAGING; TREATMENT PLANNING; TUMOR VOLUME;

ALGORITHMS; BRAIN NEOPLASMS; CRANIAL IRRADIATION; HUMANS; MAGNETIC RESONANCE IMAGING; RADIOTHERAPY, COMPUTER-ASSISTED; TUMOR BURDEN;

EID: 33750377120     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2006.07.010     Document Type: Article

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