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

Muyun Hu; Zhuoqun Yuan; Di Yang; Jingzhu Zhao; Yanmei Liang

doi:10.1142/S1793545823500268

Journals >Journal of Innovative Optical Health Sciences >Volume 17 >Issue 3 >Page 2350026 > Article

Journal of Innovative Optical Health Sciences
Vol. 17, Issue 3, 2350026 (2024)

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

Muyun Hu^1、§, Zhuoqun Yuan^1、§, Di Yang¹, Jingzhu Zhao², and Yanmei Liang^1、*

Author Affiliations

¹Institute of Modern Optics, Nankai University, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Tianjin 300350, China

²Department of Thyroid and Neck Tumor, Tianjin Medical University Cancer Institute and Hospital National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, China

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DOI: 10.1142/S1793545823500268 Cite this Article

Muyun Hu, Zhuoqun Yuan, Di Yang, Jingzhu Zhao, Yanmei Liang. Deep learning-based inpainting of saturation artifacts in optical coherence tomography images[J]. Journal of Innovative Optical Health Sciences, 2024, 17(3): 2350026 Copy Citation Text

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