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Anatomical sketch segmentation

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dc.contributor.advisor Professor Peter Haddawy (Chairman) en_US
dc.contributor.advisor Dr. Sumanta Guha (Member) en_US
dc.contributor.advisor Dr. Matthew Dailey (Member) en_US
dc.contributor.author Natapope Sarakhette en_US
dc.date.accessioned 2015-01-12T10:45:19Z
dc.date.available 2015-01-12T10:45:19Z
dc.date.issued 2005 en_US
dc.identifier.other AIT Thesis no.IM-05-06 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/567
dc.description 63 p. en_US
dc.description.abstract In medicine, anatomical sketches are omnipresent. Physicians frequently draw sketches in patient records and use them to communicate with either patients or colleagues regarding diagnoses and treatments. In medical education, students often use sketches for learning anatomy as well as communicating in collaborative problem solving. If a computer system is capable of understanding anatomical structures sketched by humans, various medical applications such as electronic patient records and medical tutoring systems could be enhanced especially in an aspect of intelligent interfaces. In this thesis, we proposed an approach to segment detailed structures of anatomical sketches (e.g. parts of the heart) even if some parts have not been explicitly drawn. The proposed segmentation algorithm consists of five major processes; point matching, distance-based elimination, transformation, connecting boundary points, and labeling interior points. An empirical analysis presented in this study explores the agreement between the segmentations of the system and those of an experienced physician. In addition, two subjective evaluations are also conducted: senior medical students’ judgments of the quality of the system’s segmentations and an experienced physician’s segmentations, and a survey to determine a suitable parameter to apply in the algorithm. Finally, a prototype system is implemented to demonstrate the capability of the anatomical sketch segmentation in practice. en_US
dc.description.sponsorship True Corporation Public Limited Company Thailand – AIT fellowship en_US
dc.language.iso en en_US
dc.publisher Asian Institute of Technology en_US
dc.relation.ispartofseries AIT Publications; en_US
dc.subject anatomical sketches en_US
dc.subject segmentation en_US
dc.title Anatomical sketch segmentation en_US
dc.type Thesis en_US


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