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Computer Aided Quantification of Pathological Features for Flexor Tendon Pulleys on Microscopic Images
Joint Authors
Shih, Hui-Hsuan
Chen, Hsin-Chen
Yang, Dee-Shan
Yang, Tai-Hua
Su, Fong-Chin
Liu, Yung-Chun
Yang, Hsiao-Bai
Sun, Yung-Nien
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Quantifying the pathological features of flexor tendon pulleys is essential for grading the trigger finger since it provides clinicians with objective evidence derived from microscopic images.
Although manual grading is time consuming and dependent on the observer experience, there is a lack of image processing methods for automatically extracting pulley pathological features.
In this paper, we design and develop a color-based image segmentation system to extract the color and shape features from pulley microscopic images.
Two parameters which are the size ratio of abnormal tissue regions and the number ratio of abnormal nuclei are estimated as the pathological progression indices.
The automatic quantification results show clear discrimination among different levels of diseased pulley specimens which are prone to misjudgments for human visual inspection.
The proposed system provides a reliable and automatic way to obtain pathological parameters instead of manual evaluation which is with intra- and interoperator variability.
Experiments with 290 microscopic images from 29 pulley specimens show good correspondence with pathologist expectations.
Hence, the proposed system has great potential for assisting clinical experts in routine histopathological examinations.
American Psychological Association (APA)
Liu, Yung-Chun& Chen, Hsin-Chen& Shih, Hui-Hsuan& Yang, Tai-Hua& Yang, Hsiao-Bai& Yang, Dee-Shan…[et al.]. 2013. Computer Aided Quantification of Pathological Features for Flexor Tendon Pulleys on Microscopic Images. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-507647
Modern Language Association (MLA)
Liu, Yung-Chun…[et al.]. Computer Aided Quantification of Pathological Features for Flexor Tendon Pulleys on Microscopic Images. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-507647
American Medical Association (AMA)
Liu, Yung-Chun& Chen, Hsin-Chen& Shih, Hui-Hsuan& Yang, Tai-Hua& Yang, Hsiao-Bai& Yang, Dee-Shan…[et al.]. Computer Aided Quantification of Pathological Features for Flexor Tendon Pulleys on Microscopic Images. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-507647
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507647