no code implementations • 25 Feb 2024 • Zhenxing Dong, Jidong Jia, Yan Li, Yuye Ling
Both simulations and experiments were conducted to demonstrate the capabilities of the proposed framework.
no code implementations • 20 Jul 2023 • Xueshen Li, Zhenxing Dong, Hongshan Liu, Jennifer J. Kang-Mieler, Yuye Ling, Yu Gan
Optical coherence tomography (OCT) has stimulated a wide range of medical image-based diagnosis and treatment in fields such as cardiology and ophthalmology.
no code implementations • 25 Apr 2022 • Xueshen Li, Shengting Cao, Hongshan Liu, Xinwen Yao, Brigitta C. Brott, Silvio H. Litovsky, Xiaoyu Song, Yuye Ling, Yu Gan
There is a trade-off between high spatial resolution and fast scanning rate for coronary imaging.
no code implementations • 23 Feb 2022 • Yaoqi Tang, Yufan Li, Hongshan Liu, Jiaxuan Li, Peiyao Jin, Yu Gan, Yuye Ling, Yikai Su
To address these challenges, we propose a novel multi-scale shadow inpainting framework for OCT images by synergically applying sparse representation and deep learning: sparse representation is used to extract features from a small amount of training images for further inpainting and to regularize the image after the multi-scale image fusion, while convolutional neural network (CNN) is employed to enhance the image quality.
no code implementations • 5 Nov 2021 • Zhenxing Dong, Hong Cao, Wang Shen, Yu Gan, Yuye Ling, Guangtao Zhai, Yikai Su
In particular, we propose to use a convolutional neural network (CNN) to learn the cutoff frequency of real-world degradation process.
1 code implementation • 9 Feb 2021 • Jiaxuan Li, Peiyao Jin, Jianfeng Zhu, Haidong Zou, Xun Xu, Min Tang, Minwen Zhou, Yu Gan, Jiangnan He, Yuye Ling, Yikai Su
An accurate and automated tissue segmentation algorithm for retinal optical coherence tomography (OCT) images is crucial for the diagnosis of glaucoma.