Paper
16 January 2006 Automated editing of medical training video via content analysis
Kevon Andrews, Daniel Ring, Anil Kokaram, Fadel Al Sabah, T. Clive Lee, Cathy Radix
Author Affiliations +
Proceedings Volume 6073, Multimedia Content Analysis, Management, and Retrieval 2006; 607304 (2006) https://doi.org/10.1117/12.650668
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
Physicians in the early part of their training inevitably undertake a course in Anatomy. Unfortunately, the amount of training medical students have with real bodies has decreased. This is further exacerbated with the increasing gap between numbers of medical students and resources available. Medical faculties worldwide are increasingly turning to video training sessions as a complement to practical sessions. This paper presents a number of automated content access and enhancement tools which have been designed to alleviate the difficulty of editing these sessions. The system is being deployed at the Royal College of Surgeons in Ireland.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kevon Andrews, Daniel Ring, Anil Kokaram, Fadel Al Sabah, T. Clive Lee, and Cathy Radix "Automated editing of medical training video via content analysis", Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 607304 (16 January 2006); https://doi.org/10.1117/12.650668
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Video

Surgery

Hough transforms

Signal detection

Electronics engineering

Image enhancement

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