Automated frame selection process for high-resolution microendoscopy

We developed an automated frame selection algorithm for high-resolution microendoscopy video sequences. 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 algorithm was evalu...

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Detalhes bibliográficos
Publicado no:J Biomed Opt
Main Authors: Ishijima, Ayumu, Schwarz, Richard A., Shin, Dongsuk, Mondrik, Sharon, Vigneswaran, Nadarajah, Gillenwater, Ann M., Anandasabapathy, Sharmila, Richards-Kortum, Rebecca
Formato: Artigo
Idioma:Inglês
Publicado em: Society of Photo-Optical Instrumentation Engineers 2015
Assuntos:
Research Papers: Imaging
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4412137/
https://ncbi.nlm.nih.gov/pubmed/25919426
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JBO.20.4.046014
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