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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/126326

    Title: Computer-aided Diagnosis of Different Rotator Cuff Lesions using Shoulder Musculoskeletal Ultrasound
    Authors: 羅崇銘
    Lo, Chung-Ming
    Chang, Ruey-Feng
    Lee*, Chung-Chien
    Contributors: 圖檔所
    Keywords: Rotator cuff lesions;Shoulder ultrasound;Computer-aided diagnosis;Texture
    Date: 2016-09
    Issue Date: 2019-09-19 09:53:57 (UTC+8)
    Abstract: The lifetime prevalence of shoulder pain approaches 70%, which is mostly attributable to rotator cuff lesions such as inflammation, calcific tendinitis and tears. On clinical examination, shoulder ultrasound is recommended for the detection of lesions. However, there exists inter-operator variability in diagnostic accuracy because of differences in the experience and expertise of operators. In this study, a computer-aided diagnosis (CAD) system was developed to assist ultrasound operators in diagnosing rotator cuff lesions and to improve the practicality of ultrasound examination. The collected cases included 43 cases of inflammation, 30 cases of calcific tendinitis and 26 tears. For each case, the lesion area and texture features were extracted from the entire lesions and combined in a multinomial logistic regression classifier for lesion classification. The proposed CAD achieved an accuracy of 87.9%. The individual accuracy of this CAD system was 88.4% for inflammation, 83.3% for calcific tendinitis and 92.3% for tears. Cohen's k was 0.798. On the basis of its diagnostic performance, clinical use of this CAD technique has promise.
    Relation: Ultrasound in Medicine and Biology, Vol.42, No.9, pp.2315- 2322
    Data Type: article
    Appears in Collections:[圖書資訊與檔案學研究所] 期刊論文

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