Computer-aided diagnosis in endoscopy: A novel application toward automatic detection of abnormal lesions on magnifying narrow-band imaging endoscopy in the stomach

Tsung Chun Lee, Yu Huei Lin, Noriya Uedo, Hsiu Po Wang, Hsuan Ting Chang, Chung Wen Hung

研究成果: 書貢獻/報告類型會議貢獻

22 引文 斯高帕斯(Scopus)

摘要

Gastric cancer is the fourth common cancer and the second major cause of cancer death worldwide. Early detection of gastric cancer by endoscopy surveillance is actively investigated to improve patient survival, especially using the newly developed magnifying narrow-band imaging endoscopy in the stomach. However, meticulous examination of the aforementioned images is both time and experience demanding and interpretation could be variable among different doctors, which hindered its widespread application. In this study, we developed a new image analysis system by adopting local binary pattern and vector quantization to perform pattern comparison between known training abnormal images and testing images of magnifying narrow band endoscopy images in the stomach. Our preliminary results demonstrated promising potential for automatically labeled region of interest for endoscopy doctors to focus on abnormal lesions for subsequent targeted biopsy, with the rates of recall 0.46-1.00 and precision 0.39-0.87.
原文英語
主出版物標題2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
頁面4430-4433
頁數4
DOIs
出版狀態已發佈 - 2013
對外發佈
事件2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, 日本
持續時間: 7月 3 20137月 7 2013

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN(列印)1557-170X

其他

其他2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
國家/地區日本
城市Osaka
期間7/3/137/7/13

ASJC Scopus subject areas

  • 訊號處理
  • 生物醫學工程
  • 電腦視覺和模式識別
  • 健康資訊學

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