Work

Classification and analysis of human ovarian tissue using full field optical coherence tomography

Year: 2016

Type: article

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.

Source: Biomedical Optics Express

DOI: 10.1364/boe.7.005182

Authors: Sreyankar Nandy, Melinda Sanders, Quing Zhu

Institutions: Washington University in St. Louis, UConn Health

Language: English

Topic: Optical Coherence Tomography Applications

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,913