19 May 2014 Automated frame selection process for analyzing high resolution microendoscope images
Author Affiliations +
Abstract
We developed an automated frame selection algorithm for high resolution microendoscope images. The algorithm rapidly selects a representative frame with minimal motion artifact from a short video sequence, enabling fully automated image analysis at the point-of-care. The performance of the algorithm was evaluated by comparing automatically selected frames to manually selected frames using quantitative image parameters. The implementation of fully automated high-resolution microendoscopy at the point-of-care has the potential to reduce the number of biopsies needed for accurate diagnosis of precancer and cancer in low-resource settings, where there may be limited infrastructure and personnel for standard histologic analysis.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ayumu Ishijima, Ayumu Ishijima, Sharon Mondrik, Sharon Mondrik, Richard A. Schwarz, Richard A. Schwarz, Nadarajah Vigneswaran, Nadarajah Vigneswaran, Ann M. Gillenwater, Ann M. Gillenwater, Rebecca Richards-Kortum, Rebecca Richards-Kortum, } "Automated frame selection process for analyzing high resolution microendoscope images", Proc. SPIE 9155, Translational Biophotonics, 91551M (19 May 2014); doi: 10.1117/12.2062586; https://doi.org/10.1117/12.2062586
PROCEEDINGS
4 PAGES


SHARE
Back to Top