@inproceedings{a864693eb4414d49aea017f10ac7fc93,
title = "Automated frame selection process for analyzing high resolution microendoscope images",
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..",
keywords = "Frame selection, microendoscopy, motion artifact",
author = "Ayumu Ishijima and Sharon Mondrik and Schwarz, {Richard A.} and Nadarajah Vigneswaran and Gillenwater, {Ann M.} and Rebecca Richards-Kortum",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; Translational Biophotonics ; Conference date: 19-05-2014 Through 20-05-2014",
year = "2014",
doi = "10.1117/12.2062586",
language = "English (US)",
isbn = "9780819496263",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
booktitle = "Translational Biophotonics",
}