• 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