Mean curvature mapping for detection of corneal shape abnormality

IEEE Transactions on Medical Imaging

Volumn 24, Issue 2, 2005, Pages 424-428

  Tang, Maolong ^a,b   Shekhar, Raj ^c,d   Huang, David ^c,e  

^a OHIO STATE UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c LERNER RESEARCH INSTITUTE   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Cornea; Corneal topography; Keratoconus; Mean curvature

Indexed keywords

DIAGNOSIS; EYE MOVEMENTS; LASER SURGERY; MAPPING; PARAMETER ESTIMATION; REFRACTION; VISION; COMPUTER SIMULATION; DISEASES; IMAGE QUALITY; JOINT PROSTHESES; MATHEMATICAL MODELS; OPTICAL DEVICES; PATHOLOGY; PATIENT MONITORING;

CORNEA; CORNEAL TOPOGRAPHY; KERATOCONUS; MEAN CURVATURE; CORNEAL TOMOGRAPHY;

BIOLOGICAL ORGANS; TOMOGRAPHY;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; CORNEA; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; KERATOCONUS; KERATOMETRY; LETTER; METHODOLOGY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; CORNEA; CORNEAL TOPOGRAPHY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; KERATOCONUS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 21244446666     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2004.843192     Document Type: Article

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