Cecum Classification of Colonoscopy Images using Deep Learning Algorithm
碩士 === 國立臺灣大學 === 生醫電子與資訊學研究所 === 105 === In this thesis, based on the theory of deep learning, we establish an automatic cecum recognition system to identify whether a colonoscopy image consists of cecum structure or not. Thereby, this system can check colonoscopist’s real cecal intubation rate to...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/m74y7w |