| Summary: | 碩士 === 國立雲林科技大學 === 資訊工程研究所 === 97 === Hyperthyroidism is a common thyroid disease. Graves'' disease is one of the most common etiology with 70-80% of hyperthyroidism. In clinical diagnosis, physicians generally utilize US images for inspections. Unfortunately, they are not able to diagnose 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 paper, we proposed an automatic approach to diagnose Graves’ disease on US image fast and 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 (SVM) to classify the regions. The diagnostic result is determined using a diagnosis score on the classified regions. Experimental results show effectiveness of the proposed approach.
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