Automated frame selection process for analyzing high resolution microendoscope images
Ayumu Ishijima, Sharon Mondrik, Richard A. Schwarz, Nadarajah Vigneswaran, Ann Marie Gillenwater, Rebecca Richards‐Kortum · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.