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