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dc.contributor.authorCox, Jay Fredericken_US
dc.date.accessioned2007-08-23T01:56:11Z
dc.date.available2007-08-23T01:56:11Z
dc.date.issued2007-08-23T01:56:11Z
dc.date.submittedAugust 2005en_US
dc.identifier.otherDISS-1071en_US
dc.identifier.urihttp://hdl.handle.net/10106/160
dc.description.abstractCapsule Endoscopy (CE) is a new procedure where endoscopists can visualize and discriminate anomalies of the human gastrointestinal track by allowing the patient to swallow a camera pill. The digital video obtained from the pill is used to safely pinpoint the location of these abnormalities in areas previously unavailable for view. One of the main functions of CE is determining the location of bleeding. Given Imaging, currently the only maker of a FDA approved CE device, has a proprietary and unspecified blood test, called Suspected Blood Index, which can be used to automatically detect where blood occurs in the video. Its precision and recall are fair, but can be improved upon. In this paper we discuss the journey taken in the attempt to attempt to create a better blood detector. The final algorithm seems to deliver good results with precision and recall above 92% and 85% respectively.en_US
dc.description.sponsorshipOh, JungHwanen_US
dc.language.isoENen_US
dc.publisherComputer Science & Engineeringen_US
dc.titleFinding Blood In Capsule Endoscopy Videoen_US
dc.typeM.S.en_US
dc.contributor.committeeChairOh, JungHwanen_US
dc.degree.departmentComputer Science & Engineeringen_US
dc.degree.disciplineComputer Science & Engineeringen_US
dc.degree.grantorUniversity of Texas at Arlingtonen_US
dc.degree.levelmastersen_US
dc.degree.nameM.S.en_US


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