Using image processing technology combined with decision tree algorithm in laryngeal video stroboscope automatic identification of common vocal fold diseases

Chung Feng Jeffrey Kuo, Po Chun Wang, Yueng Hsiang Chu, Hsing Won Wang, Chun Yu Lai

研究成果: 雜誌貢獻文章同行評審

8 引文 斯高帕斯(Scopus)

摘要

This study used the actual laryngeal video stroboscope videos taken by physicians in clinical practice as the samples for experimental analysis. The samples were dynamic vocal fold videos. Image processing technology was used to automatically capture the image of the largest glottal area from the video to obtain the physiological data of the vocal folds. In this study, an automatic vocal fold disease identification system was designed, which can obtain the physiological parameters for normal vocal folds, vocal paralysis and vocal nodules from image processing according to the pathological features. The decision tree algorithm was used as the classifier of the vocal fold diseases. The identification rate was 92.6%, and the identification rate with an image recognition improvement processing procedure after classification can be improved to 98.7%. Hence, the proposed system has value in clinical practices.
原文英語
頁(從 - 到)228-236
頁數9
期刊Computer Methods and Programs in Biomedicine
112
發行號1
DOIs
出版狀態已發佈 - 10月 2013

ASJC Scopus subject areas

  • 軟體
  • 電腦科學應用
  • 健康資訊學

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