title: Classification and analysis of human ovarian tissue using full field optical coherence tomography.
abstract: In this study, a full field optical coherence tomography (FFOCT) system was used to analyze and classify normal and malignant human ovarian tissue. 14 ovarian tissue samples (7 normal, 7 malignant) were imaged with the FFOCT system and five features were extracted by analyzing the normalized image histogram from 56 FFOCT images, based on the differences in the morphology of the normal and malignant tissue samples. A generalized linear model (GLM) classifier was trained using 36 images, and sensitivity of 95.3% and specificity of 91.1% was obtained. 20 images were used to test the model, and a sensitivity of 91.6% and specificity of 87.7% was obtained.
authors.affiliation: Department of Biomedical Engineering, Washington University in St. Louis, USA.
authors.forename: Sreyankar
authors.initials: S
authors.lastname: Nandy
authors.affiliation: University of Connecticut Health Center, Division of Pathology, USA.
authors.forename: Melinda
authors.initials: M
authors.lastname: Sanders
authors.affiliation: Department of Biomedical Engineering, Washington University in St. Louis, USA.
authors.forename: Quing
authors.initials: Q
authors.lastname: Zhu
keywords: (110.4500) Optical coherence tomography; (170.1610) Clinical applications; (170.3890) Medical optics instrumentation; (170.4440) ObGyn; (170.6935) Tissue characterization