Automated identification of basal cell carcinoma by polarization-sensitive optical coherence tomography

Biomedical Optics Express

Volumn 5, Issue 10, 2014, Pages 3717-3729

  Duan, Lian ^a   Marvdashti, Tahereh ^a   Lee, Alex ^b   Tang, Jean Y ^b   Ellerbee, Audrey K ^a  

^a STANFORD UNIVERSITY   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIREFRINGENCE; CAPILLARY FLOW; CLASSIFICATION (OF INFORMATION); POLARIZATION; TOMOGRAPHY;

AUTOMATED CLASSIFIERS; AUTOMATED IDENTIFICATION; BASAL CELL CARCINOMA; BIREFRINGENCE PROPERTY; COMBINED INFORMATIONS; POLARIZATION SENSITIVE OPTICAL COHERENCE TOMOGRAPHY; SCATTERING INTENSITY; SENSITIVITY AND SPECIFICITY;

OPTICAL TOMOGRAPHY;

ALGORITHM; ANIMAL MODEL; ANIMAL TISSUE; AREA UNDER THE CURVE; ARTICLE; BASAL CELL CARCINOMA; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; HISTOLOGY; IMAGE ANALYSIS; INFORMATION PROCESSING; IONIZING RADIATION; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; MOUSE; NONHUMAN; OPTICAL COHERENCE TOMOGRAPHY; POLARIZATION SENSITIVE OPTICAL COHERENCE TOMOGRAPHY; RELIABILITY; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SIGNAL PROCESSING; SKINFOLD THICKNESS; VALIDATION PROCESS;

EID: 84930937042     PISSN: None     EISSN: 21567085     Source Type: Journal    
DOI: 10.1364/BOE.5.003717     Document Type: Article

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