https://scholars.lib.ntu.edu.tw/handle/123456789/496153
Title: | Computer-aided diagnosis for thyroid graves' disease in ultrasound images | Authors: | Chang C.-Y. Liu H.-Y. CHIN-HSIAO TSENG SHYANG-RONG SHIH |
Issue Date: | 2010 | Journal Volume: | 22 | Journal Issue: | 2 | Start page/Pages: | 91-99 | Source: | Biomedical Engineering - Applications, Basis and Communications | Abstract: | Hyperthyroidism is a common thyroid disease. Graves' disease is one of the most common etiologies with 70-80% of hyperthyroidism. In clinical diagnosis, physicians generally utilize ultrasound (US) images for inspections. Unfortunately, they are not able to decide the Graves' disease directly on the US images, and have to rely on blood tests to assure it. The blood tests often take weeks to obtain the inspection results. Hence, in this article, we proposed an approach to diagnose Graves' disease on US image directly. The automatic diagnosis meets a short-time inspection, and patients may know their situation quickly. We segment the thyroid regions and utilize a high-performance classifier (support vector machine SVM) to classify the regions. The Graves' disease is diagnosed using an area measure on the classified regions. Experimental results show effectiveness of the proposed approach. ? 2010 National Taiwan University. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-77951683757&doi=10.4015%2fS1016237210001815&partnerID=40&md5=781561bdf5cb10986d4b547119dfd3b8 https://scholars.lib.ntu.edu.tw/handle/123456789/496153 |
ISSN: | 1016-2372 | DOI: | 10.4015/S1016237210001815 | SDG/Keyword: | Automatic diagnosis; Blood test; Clinical diagnosis; Thyroid disease; Ultrasound images; Blood; Gears; Inspection; Support vector machines; Ultrasonic applications; Ultrasonics; Computer aided diagnosis; article; blood examination; computer assisted diagnosis; Graves disease; human; hyperthyroidism; image enhancement; image quality; support vector machine; ultrasound |
Appears in Collections: | 醫學系 |
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