Texture analysis of optical coherence tomography images: Feasibility for tissue classification

Journal of Biomedical Optics

Volumn 8, Issue 3, 2003, Pages 570-575

  Gossage, Kirk W ^a   Tkaczyk, Tomasz S ^a   Rodriguez, Jeffrey J ^a   Barton, Jennifer K ^a  

^a University of Arizona   (United States)

Author keywords

Brodatz; Image processing; Lung; Speckle

Indexed keywords

IMAGE PROCESSING; SPECKLE; TISSUE; TOMOGRAPHY;

OPTICAL COHERENCE TOMOGRAPHY;

BIOMEDICAL ENGINEERING;

ADIPOSE TISSUE; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; EVALUATION; FEASIBILITY STUDY; HYPERPLASIA; IMAGE ENHANCEMENT; LUNG; MALE; METHODOLOGY; MOUSE; MOUSE MUTANT; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SKIN; SURFACE PROPERTY; TESTIS; VALIDATION STUDY;

ADIPOSE TISSUE; ANIMALS; CLUSTER ANALYSIS; FEASIBILITY STUDIES; HYPERPLASIA; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUNG; MALE; MICE; MICE, KNOCKOUT; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN; SURFACE PROPERTIES; TESTIS; TOMOGRAPHY, OPTICAL COHERENCE;

EID: 0141533017     PISSN: 10833668     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.1577575     Document Type: Article

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