Deep learning-based inpainting of saturation artifacts in optical coherence tomography images
Limited by the dynamic range of the detector, saturation artifacts usually occur in optical coherence tomography (OCT) imaging for high scattering media. The available methods are difficult to remove saturation artifacts and restore texture completely in OCT images. We proposed a deep learning-based...
| Autori principali: | , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
World Scientific Publishing
2024-05-01
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| Serie: | Journal of Innovative Optical Health Sciences |
| Soggetti: | |
| Accesso online: | https://www.worldscientific.com/doi/10.1142/S1793545823500268 |