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

IF 2.3 3区医学 Q2 OPTICS

Journal of Innovative Optical Health Sciences Pub Date : 2023-10-13 DOI:10.1142/s1793545823500268

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

引用次数: 0

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基于深度学习的光学相干层析成像中饱和伪影的涂漆

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Innovative Optical Health Sciences OPTICS-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

CiteScore

4.50

自引率

20.00%

发文量

审稿时长

>12 weeks

期刊介绍： JIOHS serves as an international forum for the publication of the latest developments in all areas of photonics in biology and medicine. JIOHS will consider for publication original papers in all disciplines of photonics in biology and medicine, including but not limited to: -Photonic therapeutics and diagnostics- Optical clinical technologies and systems- Tissue optics- Laser-tissue interaction and tissue engineering- Biomedical spectroscopy- Advanced microscopy and imaging- Nanobiophotonics and optical molecular imaging- Multimodal and hybrid biomedical imaging- Micro/nanofabrication- Medical microsystems- Optical coherence tomography- Photodynamic therapy. JIOHS provides a vehicle to help professionals, graduates, engineers, academics and researchers working in the field of intelligent photonics in biology and medicine to disseminate information on the state-of-the-art technique.