Deep learning-based inpainting of saturation artifacts in optical coherence tomography images

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...

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Podrobná bibliografie
Hlavní autoři: Muyun Hu, Zhuoqun Yuan, Di Yang, Jingzhu Zhao, Yanmei Liang
Médium: Článek
Jazyk:English
Vydáno: World Scientific Publishing 2024-05-01
Edice:Journal of Innovative Optical Health Sciences
Témata:
Optical coherence tomography
saturation artifacts
deep learning
image inpainting
On-line přístup:https://www.worldscientific.com/doi/10.1142/S1793545823500268

Internet

https://www.worldscientific.com/doi/10.1142/S1793545823500268

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