Quantitative measurement for pathological change of pulley tissue from microscopic images via color-based segmentation

Yung Chun Liu, Hui Hsuan Shih, Tai-Hua Yang, Hsiao Bai Yang, Dee Shan Yang, Yung-Nien Sun

研究成果: Conference contribution

摘要

Measurement of pathological change in pulley tissue is an important index for trigger finger disease. However, the current measurement process is mostly based on manual estimation which is subjective and time-consuming. We hence propose an automatic method for quantitatively measuring the pathological change of pulley tissue from microscopic images. We first apply the color normalization to normalize all the acquired images. Then we use a three-stepped color segmentation process to extract the areas of diseased tissues. On the other hand, we also apply an active double thresholding scheme to segment the nuclei and extract shape features of nucleus. At last, the ratio of abnormal tissue area and the ratio of abnormal nuclei are calculated as the indices for the evaluation of trigger finger disease. The result showed good correlation between the expert judgments and the measured parameters.

原文English
主出版物標題Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings
頁面476-485
頁數10
版本PART 3
DOIs
出版狀態Published - 2012 三月 27
事件4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012 - Kaohsiung, Taiwan
持續時間: 2012 三月 192012 三月 21

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
號碼PART 3
7198 LNAI
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012
國家Taiwan
城市Kaohsiung
期間12-03-1912-03-21

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • 引用此

    Liu, Y. C., Shih, H. H., Yang, T-H., Yang, H. B., Yang, D. S., & Sun, Y-N. (2012). Quantitative measurement for pathological change of pulley tissue from microscopic images via color-based segmentation. 於 Intelligent Information and Database Systems - 4th Asian Conference, ACIIDS 2012, Proceedings (PART 3 編輯, 頁 476-485). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 7198 LNAI, 編號 PART 3). https://doi.org/10.1007/978-3-642-28493-9_50