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035			_a.b1198692x
099		9	_aAIT Thesis no.IM-05-03
100	0		_aPloen Kaewruen
245	1	0	_aAnatomical sketch recognition
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2005
300			_a78 p. : _bill.
490	1		_aThesis ; _vno. IM-05-03
500			_aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Advanced Technologies
502			_aThesis (M.Sc.) - Asian Institute of Technology, 2005
520			_aAnatomical sketching is widely used in medicine. Physicians often draw sketches in patient records to describe pathology. Medical students frequently use sketches in learning anatomy and communicating in group problem solving. If a computer has the ability to recognize such sketches, it would greatly benefit many medical applications such as automated patient records and education software in medicine. In this thesis, we attempt to develop a system that is capable of recognizing anatomical sketches. We present a method for recognizing sketches that consists of two processes. The first process is an algorithm used for comparing the similarity between a sketch and pre-defined set of templates. The second process focuses on the template selection using the principle of classification. The accuracy of the proposed method is evaluated over a number of sketches drawn by medical students. To measure the effectiveness of the approach, the accuracies of the recognition between the system and human experts are compared. Finally, a prototype system is developed to demonstrate the potential use of anatomical sketch recognition in practice
650		0	_aHuman anatomy _xDrawing
700	1		_aHaddawy, Peter, _eChairperson
700	1		_aDailey, Mathew N., _eExamination Committee
700	1		_aChen, Xiaoyong, _eExamination Committee
710	2		_aRoyal Thai Government Fellowship _eScholarship Donor
810	2		_aAsian Institute of Technology. _tThesis ; _vno. IM-05-03
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B11644
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902			_a240401
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