A mathematical framework for virtual IMRT QA using machine learning

Medical Physics

Volumn 43, Issue 7, 2016, Pages 4323-4334

  Valdes, G ^a   Scheuermann, R ^a   Hung, C Y ^a   Olszanski, A ^a   Bellerive, M ^a   Solberg, T D ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

local analysis; machine learning; Poisson regression; virtual IMRT QA

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; POISSON DISTRIBUTION;

DIODE ARRAYS; DYNAMIC SLIDING; LOCAL ANALYSIS; MACHINE-LEARNING; MATHEMATICAL FRAMEWORKS; PATIENT SPECIFIC; POISSON REGRESSION; PRE-TREATMENTS; SLIDING WINDOW TECHNIQUES; VIRTUAL IMRT QA;

E-LEARNING;

ALGORITHM; ARTICLE; COMPUTER PREDICTION; CONTROLLED STUDY; HUMAN; INTENSITY MODULATED RADIATION THERAPY; LINEAR ACCELERATOR; MACHINE LEARNING; MEDICAL ERROR; DEVICES; HEALTH CARE QUALITY; NEOPLASMS; PROCEDURES; RADIOMETRY; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING SYSTEM; REGRESSION ANALYSIS; TREATMENT FAILURE;

HUMANS; MACHINE LEARNING; NEOPLASMS; QUALITY ASSURANCE, HEALTH CARE; RADIOMETRY; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, INTENSITY-MODULATED; REGRESSION ANALYSIS; TREATMENT FAILURE;

EID: 84975512963     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4953835     Document Type: Article

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