Focal biologically inspired feature for glaucoma type classification

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 91-98

  Cheng, Jun ^a   Tao, Dacheng ^b   Liu, Jiang ^a   Wong, Damon Wing Kee ^a   Lee, Beng Hai ^a   Baskaran, Mani ^c   Wong, Tien Yin ^c,d   Aung, Tin ^c,d  

^a INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c SINGAPORE EYE RESEARCH INSTITUTE   (Singapore)

^d NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ANGLE-CLOSURE GLAUCOMA; BIOLOGICALLY INSPIRED; CLINICAL USE; FOCAL REGIONS; MANUAL CLASSIFICATION; OPEN-ANGLE GLAUCOMA; OPTIC NERVE;

DIAGNOSIS; EYE PROTECTION; FOCUSING; MEDICAL COMPUTING;

OPHTHALMOLOGY;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CLASSIFICATION; CLOSED ANGLE GLAUCOMA; COMPUTER PROGRAM; CORNEA; GLAUCOMA; HUMAN; IMAGE PROCESSING; IRIS; METHODOLOGY; NORMAL DISTRIBUTION; OPEN ANGLE GLAUCOMA; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL; VISUAL SYSTEM EXAMINATION;

ALGORITHMS; CORNEA; DIAGNOSTIC TECHNIQUES, OPHTHALMOLOGICAL; GLAUCOMA; GLAUCOMA, ANGLE-CLOSURE; GLAUCOMA, OPEN-ANGLE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IRIS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NORMAL DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 80053496197     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_12     Document Type: Conference Paper

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