Automated segmentation algorithm for detection of changes in vaginal epithelial morphology using optical coherence tomography

Journal of Biomedical Optics

Volumn 17, Issue 11, 2012, Pages

  Chitchian, Shahab ^a,b   Vincent, Kathleen L ^a,b   Vargas, Gracie ^a,b   Motamedi, Massoud ^a,b  

^a UNIVERSITY OF TEXAS MEDICAL BRANCH   (United States)

^b University of Texas Medical Branch School of Medicine   (United States)

Author keywords

image segmentation; oct; optical coherence tomography; vaginal epithelium

Indexed keywords

AUTOMATED ALGORITHMS; AUTOMATED SEGMENTATION; CLINICAL SETTINGS; FEATURE-BASED; MICROBICIDES; NEAREST NEIGHBOR CLASSIFIERS; NONINVASIVE TOOLS; OCT; SEGMENTATION ALGORITHMS; SEGMENTATION TECHNIQUES; VAGINAL EPITHELIUM;

ALGORITHMS; DAMAGE DETECTION; MORPHOLOGY; OPTICAL TOMOGRAPHY; TISSUE;

IMAGE SEGMENTATION;

HUMAN IMMUNODEFICIENCY VIRUS;

TOPICAL ANTIINFECTIVE AGENT;

ALGORITHM; ANIMAL; ANIMAL MODEL; ARTICLE; DRUG EFFECT; EPITHELIUM; FEMALE; IMAGE PROCESSING; INJURY; LIGHT RELATED PHENOMENA; METHODOLOGY; OPTICAL COHERENCE TOMOGRAPHY; PATHOLOGY; SHEEP; STATISTICS; VAGINA;

ALGORITHMS; ANIMALS; ANTI-INFECTIVE AGENTS, LOCAL; EPITHELIUM; FEMALE; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, ANIMAL; OPTICAL PHENOMENA; SHEEP; TOMOGRAPHY, OPTICAL COHERENCE; VAGINA;

EID: 84870575875     PISSN: 10833668     EISSN: 15602281     Source Type: Journal    
DOI: 10.1117/1.JBO.17.11.116004     Document Type: Article

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