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Proceedings Paper

Automated analysis of tissue heterogeneity based on OCT images for improving personalized cancer therapy effectiveness (Conference Presentation)

Paper Abstract

In the current era of personalized cancer therapy, various drugs need to be rapidly tested to determine their efficacy in killing cancer cells. In this way, the most effective drug can be administered to improve therapy effectiveness. However, since the biopsy specimens are heterogeneous, efficient testing requires the use only of the viable tumor part of the specimen. Therefore, rapid and automated evaluation of specimen heterogeneity is needed. In this paper presents an automated algorithm for tissue heterogeneity estimation based on OCT images. This algorithm use image texture features to differentiate between healthy and cancer tissue.

Paper Details

Date Published: 9 March 2020
Proc. SPIE 11234, Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis, 112340I (9 March 2020); doi: 10.1117/12.2549156
Show Author Affiliations
Mark Scimone, Physical Sciences Inc. (United States)
Gopi Maguluri, Physical Sciences Inc. (United States)
Jesung Park, Physical Sciences Inc. (United States)
Nicusor V. Iftimia, Physical Sciences Inc. (United States)

Published in SPIE Proceedings Vol. 11234:
Optical Biopsy XVIII: Toward Real-Time Spectroscopic Imaging and Diagnosis
Robert R. Alfano; Stavros G. Demos; Angela B. Seddon, Editor(s)

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