Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme

Computer Methods and Programs in Biomedicine

Volumn 90, Issue 3, 2008, Pages 251-261

  Glotsos, Dimitris ^a   Kalatzis, Ioannis ^a   Spyridonos, Panagiota ^b   Kostopoulos, Spiros ^b   Daskalakis, Antonis ^b   Athanasiadis, Emmanouil ^b   Ravazoula, Panagiota ^c   Nikiforidis, George ^b   Cavouras, Dionisis ^a  

^a UNIVERSITY OF WEST ATTICA   (Greece)

^b UNIVERSITY OF PATRAS   (Greece)

^c UNIVERSITY HOSPITAL OF PATRAS   (Greece)

Author keywords

Astrocytomas; Computer assisted microscopy; Least squares mapping; Support vector machines

Indexed keywords

CELLS; CLASSIFICATION (OF INFORMATION); COMPUTER AIDED ANALYSIS; IMAGE ANALYSIS; LEAST SQUARES APPROXIMATIONS; NETWORK PROTOCOLS; ROBUST CONTROL; SUPPORT VECTOR MACHINES; TUMORS;

ASTROCYTOMAS; COMPUTER-ASSISTED MICROSCOPY; DIGITAL IMAGE ANALYSIS; LEAST SQUARES MAPPING;

NEUROLOGY;

ARTICLE; ASTROCYTOMA; AUTOMATION; BRAIN MAPPING; CANCER GRADING; CLINICAL PRACTICE; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE; TREATMENT PLANNING;

ARTIFICIAL INTELLIGENCE; ASTROCYTOMA; DIAGNOSIS, COMPUTER-ASSISTED; GLIOBLASTOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; ROC CURVE; STAINING AND LABELING;

EID: 42449093647     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2008.01.006     Document Type: Article

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