A statistical approach for achievable dose querying in IMRT planning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 521-528

  Simari, Patricio ^a   Wu, Binbin ^a   Jacques, Robert ^a   King, Alex ^a   McNutt, Todd ^a   Taylor, Russell ^a   Kazhdan, Michael ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

achievable dose querying; Data driven IMRT planning; Overlap Volume Histogram

Indexed keywords

ACHIEVABLE DOSE QUERYING; DATA-DRIVEN; DATA-DRIVEN APPROACH; DOSE LEVELS; HEAD-AND-NECK CANCER; OVERLAP VOLUME HISTOGRAM; PATIENT GEOMETRIES; STATISTICAL APPROACH; TREATMENT PLANS; TREATMENT VOLUMES;

GRAPHIC METHODS; MEDICAL IMAGING; STATISTICAL METHODS;

MEDICAL COMPUTING;

ALGORITHM; ARTICLE; COMPUTER ASSISTED RADIOTHERAPY; HUMAN; METHODOLOGY; RADIATION DOSE; STATISTICAL ANALYSIS; WHOLE BODY COUNTING;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; HUMANS; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, CONFORMAL; WHOLE-BODY COUNTING;

EID: 84868527150     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_65     Document Type: Conference Paper

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