Cecum Recognition System by Transfer Learning and Semi-Supervised Learning
碩士 === 國立臺灣大學 === 電子工程學研究所 === 105 === In this thesis, we continue to improve the system which can automatically recognize the cecum image from colonoscopy photos based on the variability of human intestinal. This system can assist doctors to check the colonoscopy photos and reduce the burden on doc...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/m528v8 |