19 May 2014 Automated frame selection process for analyzing high resolution microendoscope images
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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.
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Ayumu Ishijima, Sharon Mondrik, Richard A. Schwarz, Nadarajah Vigneswaran, Ann M. Gillenwater, 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
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