NDLI: A computer-aided-diagnosis of tonsillitis using tonsil size and color

Content Provider	IEEE Xplore Digital Library
Author	Phensadsaeng, P. Kumhom, P. Chamnongthai, K.
Copyright Year	2006
Description	Author affiliation: Dept. of Electron. & Telecommun., King Mongkut's Univ. of Technol. Thonburi, Bangkok (Phensadsaeng, P.; Kumhom, P.; Chamnongthai, K.)
Abstract	Tonsillitis disease is a major cause of serious diseases such as heart attack and pneumonia. This paper proposes a computer-aided-diagnosis of tonsillitis using tonsil size and color. In this method, we employ red color and tonsil size as features. In order to detect the abnormal features, the proposed idea considers a trend of changing the features in each day. The change of tonsillitis features in each day would be computed in order to input into a decision model. As the features (color and size) are so difficult to exactly divide into each range, this paper applies a fuzzy logic as a decision unit. To evaluate the performance of the proposed method, the experiments with tonsillitis images are performed. The results reveal about 84 % accuracy for tonsillitis detection
Sponsorship	The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS)
Starting Page	4
Ending Page	5566
File Size	3884503
Page Count	5563
File Format	PDF
ISBN	0780393899
DOI	10.1109/ISCAS.2006.1693895
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-21
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lungs Biomedical imaging Cardiac arrest Fuzzy logic Cardiac disease Cardiovascular diseases Telecommunication computing Biomedical engineering Computer vision Immune system
Content Type	Text
Resource Type	Article

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