Deep learning-based anatomical site classification for upper gastrointestinal endoscopy
Upper gastrointestinal (GI) endoscopic image documentation has provided an efficient, low-cost solution to address quality control for endoscopic reporting. The problem is, however, challenging for computer-assisted techniques, because different sites have similar appearances. Additionally, across d...
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| Main Authors: | , , , , , , , , |
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| Format: | Artigo |
| Language: | English |
| Published: |
2020
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| Online Access: | https://doi.org/10.1007/s11548-020-02148-5 https://link.springer.com/content/pdf/10.1007/s11548-020-02148-5.pdf |
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