Classification of human ovarian tissue using full field optical coherence tomography

Sreyankar Nandy; Melinda Sanders; Quing Zhu

doi:10.1117/12.2253125

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17 February 2017 Classification of human ovarian tissue using full field optical coherence tomography

Sreyankar Nandy, Melinda Sanders, Quing Zhu

Proceedings Volume 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI; 100533D (2017) https://doi.org/10.1117/12.2253125
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

The feasibility of a full-field optical coherence tomography (FFOCT) system for rapid wide field optical analysis of normal and malignant human ovarian tissue pathologies was demonstrated. Five features were extracted from the normalized image histogram from 56 FFOCT images, based on the differences in the morphology of the normal and malignant tissue samples.

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Sreyankar Nandy, Melinda Sanders, and Quing Zhu "Classification of human ovarian tissue using full field optical coherence tomography", Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, 100533D (17 February 2017); https://doi.org/10.1117/12.2253125

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