Comput Methods Programs Biomed - Automatic real-time detection of endoscopic procedures using temporal features.

Tópicos

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Resumo

Endoscopy is used for inspection of the inner surface of organs such as the colon. During endoscopic inspection of the colon or colonoscopy, a tiny video camera generates a video signal, which is displayed on a monitor for interpretation in real-time by physicians. In practice, these images are not typically captured, which may be attributed by lack of fully automated tools for capturing, analysis of important contents, and quick and easy retrieval of these contents. This paper presents the description and evaluation results of our novel software that uses new metrics based on image color and motion over time to automatically record all images of an individual endoscopic procedure into a single digitized video file. The software automatically discards out-patient video frames between different endoscopic procedures. We validated our software system on 2464 h of live video (over 265 million frames) from endoscopy units where colonoscopy and upper endoscopy were performed. Our previous classification method achieved a frame-based sensitivity of 100.00%, but only a specificity of 89.22%. Our new method achieved a frame-based sensitivity and specificity of 99.90% and 99.97%, a significant improvement. Our system is robust for day-to-day use in medical practice.

Resumo Limpo

endoscopi use inspect inner surfac organ colon endoscop inspect colon colonoscopi tini video camera generat video signal display monitor interpret realtim physician practic imag typic captur may attribut lack fulli autom tool captur analysi import content quick easi retriev content paper present descript evalu result novel softwar use new metric base imag color motion time automat record imag individu endoscop procedur singl digit video file softwar automat discard outpati video frame differ endoscop procedur valid softwar system h live video million frame endoscopi unit colonoscopi upper endoscopi perform previous classif method achiev framebas sensit specif new method achiev framebas sensit specif signific improv system robust daytoday use medic practic

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