Automatic phases recognition in pituitary surgeries by microscope images classification

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

Volumn 6135 LNCS, Issue , 2010, Pages 34-44

  Lalys, Florent ^a,b   Riffaud, Laurent ^c   Morandi, Xavier ^a,b,c   Jannin, Pierre ^a,b  

^a INRIA   (France)

^b UNIVERSITÉ DE RENNES 1   (France)

^c PONTCHAILLOU UNIVERSITY HOSPITAL   (France)

Author keywords

Digital microscope; Feature extraction; Neurosurgery; Surgical phase

Indexed keywords

10-FOLD CROSS-VALIDATION; AUTOMATIC RECOGNITION; CLASSIFICATION RATES; CONTEXT-SENSITIVE; DATA DIMENSION REDUCTION; DIGITAL MICROSCOPES; FEATURES EXTRACTION; IMAGE DATABASE; MACHINE LEARNING ALGORITHMS; MICROSCOPE IMAGES; MULTI-CLASS SUPPORT VECTOR MACHINES; PITUITARY SURGERY; SURGICAL PHASE; SURGICAL WORKFLOW;

DATA PROCESSING; DIGITAL DEVICES; FEATURE EXTRACTION; IMAGE CLASSIFICATION; IMAGE RETRIEVAL; IMAGE SEGMENTATION; LEARNING ALGORITHMS; MICROSCOPES; NEUROSURGERY; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; USER INTERFACES;

PHASE INTERFACES;

EID: 79951590071     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13711-2_4     Document Type: Conference Paper

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