EndoDSR: Automatic Detection, Segmentation, and Restoration of Artifacts in <italic>Helicobacter pylori</italic> Infection Using Endoscopic Images
Objective: To develop EndoDSR, an AI-based model for the automatic detection, segmentation, and restoration of artifacts in endoscopic images. This model aims to enhance the diagnostic accuracy of Helicobacter pylori (H. pylori), ultimately contributing to better clinical outcomes in the detection o...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11072399/ |
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