DocumentCode :
3408495
Title :
Automatic Diagnosis of Thyroid Graves´ Disease in Ultrasound Images
Author :
Chang, Chuan-Yu ; Liu, Hsiang-Yi ; Tseng, Chin-Hsiao ; Shih, Shyang-Rong
Author_Institution :
Dept. of Comput. & Commun. Eng., Nat. Yunlin Univ. of Sci. & Technol., Douliou, Taiwan
Volume :
1
fYear :
2009
fDate :
12-14 Aug. 2009
Firstpage :
192
Lastpage :
197
Abstract :
Hyperthyroidism is a common thyroid disease. Graves´ disease is the most common etiology with 70-80% of hyperthyroidism. Conventionally, a diagnosis requires weeks to confirm with blood tests. In this paper, we proposed a novel approach to diagnose Gravespsila disease in ultrasound images directly. We segment the thyroid regions, and utilize a high performance classifier to recognize the regions. The diagnostic result is determined using the area measure of these regions. Experimental results show effectiveness of the proposed approach.
Keywords :
biomedical ultrasonics; diseases; image classification; image segmentation; medical image processing; ultrasonic imaging; automatic thyroid Grave disease diagnosis; blood test; region recognition; thyroid region segmentation; ultrasound image classification; Diseases; Hybrid intelligent systems; Ultrasonic imaging; Graves´ disease; image processing; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
Type :
conf
DOI :
10.1109/HIS.2009.46
Filename :
5254295
Link To Document :
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