To address these issues, we propose a general method based on pre-trained generative adversarial network with a specified transfer learning strategy to obtain ...
To make use of the peculiarity that the image quality of endoscopic images has uniform standard, we train a standard network on the basis of a generative ...
We propose a general method based on pre-trained generative adversarial network with a specified transfer learning strategy to obtain high-quality images.
To address these issues, we propose a general method based on pre-trained generative adversarial network with a specified transfer learning strategy to obtain ...
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Approach: In this study, we present a new physics model driven semi-supervised learning framework for high-quality pixel-wise endoscopic image enhancement, ...
Experimental results on endoscopic images prove the effectiveness of the proposed network in smoke removal, light adjustment, and color ...
Missing: General Pre- Generative
Apr 1, 2022 · Main results: Qualitative and quantitative studies reveal that the proposed network outperforms the state-of-the-art image enhancement methods.
A deep unsupervised endoscopic image enhancement method is proposed based on multi-image fusion to achieve high quality endoscope images.
Compared with existing image enhancement methods, the proposed method is able to enhance the low-light region while preventing noise amplification during ...
In this study, a novel method based on deep learning techniques is proposed that can generate high- resolution counterparts of low-resolution endoscopic images.
Missing: Enhancement | Show results with:Enhancement