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dc.contributor.advisorShaw, Bryan Francis, 1976-
dc.contributor.authorHigh, Thomas
dc.date.accessioned2018-05-21T16:21:00Z
dc.date.available2018-05-21T16:21:00Z
dc.date.copyright2018-05-11
dc.date.issued2018-05-21
dc.identifier.urihttp://hdl.handle.net/2104/10242
dc.description.abstractThe red reflex test is an outdated and inaccurate method for determining ocular abnormalities in children. A possible solution to this problem is utilizing modern technology through the usage of Computer Assisted Detection of Leukocoria. This program requires less training, has a lower cost, and has a higher sample size when in direct comparison with the red reflex test. The advantages and disadvantages of using Computer Assisted Detection of Leukocoria to detect ocular abnormality in children is further explored.en_US
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.subjectMachine Learningen_US
dc.titleUsing Computer Assisted Detection of Leukocoriaen_US
dc.typeThesisen_US
dc.rights.accessrightsWorldwide accessen_US
dc.contributor.departmentBiology.en_US


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