https://scholars.lib.ntu.edu.tw/handle/123456789/541005
Title: | Computer-aided diagnosis in endoscopy: A novel application toward automatic detection of abnormal lesions on magnifying narrow-band imaging endoscopy in the stomach | Authors: | TSUNG-CHUN LEE Lin Y.-H. Uedo N. HSIU-PO WANG Chang H.-T. Hung C.-W. |
Issue Date: | 2013 | Start page/Pages: | 4430-4433 | Source: | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS | Abstract: | 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. ? 2013 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886542449&doi=10.1109%2fEMBC.2013.6610529&partnerID=40&md5=59c6ad4947a0b603bda4990278b521ba https://scholars.lib.ntu.edu.tw/handle/123456789/541005 |
ISSN: | 1557-170X | DOI: | 10.1109/EMBC.2013.6610529 | SDG/Keyword: | Automatic Detection; Gastric cancers; Image analysis systems; Local binary patterns; Narrow bands; Novel applications; Patient survivals; Region of interest; Computer aided diagnosis; Diseases; Vector quantization; Endoscopy; biopsy; computer assisted diagnosis; early diagnosis; endoscopy; feasibility study; human; procedures; Stomach Neoplasms; Biopsy; Diagnosis, Computer-Assisted; Early Detection of Cancer; Endoscopy; Feasibility Studies; Humans; Stomach Neoplasms |
Appears in Collections: | 醫學系 |
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