A spatio-temporal analysis approach for detecting biopsy and therapeutic operations in colonoscopy videos

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dc.contributor.author Li, Dalei
dc.contributor.department Computer Science
dc.date 2020-11-09T01:19:25.000
dc.date.accessioned 2021-02-26T08:57:27Z
dc.date.available 2021-02-26T08:57:27Z
dc.date.copyright Thu Jan 01 00:00:00 UTC 2004
dc.date.issued 2004-01-01
dc.description.abstract <p>Colonoscopy is an important screening tool for colorectal cancer - the second leading cause of all cancer deaths behind lung cancer in the United States. During a colonoscopic procedure, a tiny video camera at the tip of the endoscope generates a video signal of the internal mucosa of the colon. In this thesis, we design, implement, and evaluate a spatio-temporal analysis technique that can automatically identify operation shots; each is a video segment that corresponds to a biopsy or therapeutic operation in a colonoscopy video. Operation shots are of great interest to endoscopists as they can be used as teaching materials, for identifying causes of complications as a result of the operations, and for evaluating endoscopists' procedural skills. Important statistics such as the number of biopsy and therapeutic procedures performed per day can be easily obtained. To the best of our knowledge, there are no analysis techniques designed for operation shot detection in literature. Experimental results on colonoscopy videos captured from real colonoscopic procedures demonstrate that the proposed technique can correctly discover all meaningful operation shots with very few false alarms.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/rtd/20723/
dc.identifier.articleid 21722
dc.identifier.contextkey 20115180
dc.identifier.doi https://doi.org/10.31274/rtd-20201107-280
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath rtd/20723
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/98090
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/rtd/20723/Li_ISU_2004_L522.pdf|||Fri Jan 14 22:27:46 UTC 2022
dc.subject.keywords Computer science
dc.title A spatio-temporal analysis approach for detecting biopsy and therapeutic operations in colonoscopy videos
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication f7be4eb9-d1d0-4081-859b-b15cee251456
thesis.degree.discipline Computer Science
thesis.degree.level thesis
thesis.degree.name Master of Science
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