Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 244-251

  Haeker, Mona ^a,b   Abràmoff, Michael D ^a,c   Wu, Xiaodong ^a   Kardon, Randy ^c   Sonka, Milan ^a,c  

^a UNIVERSITY OF IOWA   (United States)

^b IA United States   (United States)

^c UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; GRAPH THEORY; OPTICAL TOMOGRAPHY; THREE DIMENSIONAL;

MULTIPLE SURFACE DETECTION; SURFACE INTERACTION;

OPTIMAL CONTROL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; ISCHEMIC OPTIC NEUROPATHY; METHODOLOGY; OPHTHALMOSCOPY; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; REPRODUCIBILITY; RETINA MACULA DEGENERATION; RETINA MACULA LUTEA; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MACULA LUTEA; MACULAR DEGENERATION; OPHTHALMOSCOPY; OPTIC NEUROPATHY, ISCHEMIC; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 79551681089     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_30     Document Type: Conference Paper

References (6)

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