Exploration of efficacy of gland morphology and architectural features in prostate cancer gleason grading

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2012, Pages 2849-2854

  Lopez, Clara Mosquera ^a   Agaian, Sos ^a   Sanchez, Isaac ^a   Almuntashri, Ali ^a   Zinalabdin, Osman ^b   Rikabi, Amar Al ^b   Thompson, Ian ^c  

^a UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

^c University of Texas Health Science Center at San Antonio   (United States)

Author keywords

gland morphology; Gleason grading; image analysis; Prostate cancer; SVM classification; tissue structures

Indexed keywords

ARCHITECTURAL FEATURES; AUTOMATIC GRADING; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; COMPUTERIZED RECOGNITION; GLEASON GRADING; NUCLEAR ARCHITECTURE; PROSTATE CANCERS; RESEARCH EFFORTS; STRUCTURAL CLASSIFICATION; SUPPORT SYSTEMS; SVM CLASSIFICATION; THREE-CLASS CLASSIFICATION; TISSUE STRUCTURE;

COMPUTER SIMULATION; CYBERNETICS; DISEASES; GRADING; IMAGE ANALYSIS; MORPHOLOGY; TISSUE;

PATTERN RECOGNITION SYSTEMS;

EID: 84872415640     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2012.6378181     Document Type: Conference Paper

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