Research progress of frontier image processing in medical endoscopes-ZENTIME PUBLISHING CORPORATION LIMITED

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Research progress of frontier image processing in medical endoscopes

Jinjing Wu^1,*, Yang Yuan^2,*, Long Liu¹, Haipo Cui¹, Tianying Xu³, Miao Zhou⁴, Zhanheng Chen³, Bing Xu³

¹School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. ²School of Computer Science and Artificial Intelligence, Changzhou University, Jiangsu 213164, China. ³School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China. ⁴Department of Anesthesiology, the Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing Medical University, Nanjing 210009, Jiangsu, China.

^*The authors contribute equally.

Address correspondence to: Haipo Cui, School of Health Science and Engineering, University of Shanghai for Science and Technology, NO.516, Jungong Road, Shanghai 200093, China. E-mail: h_b_cui@163.com, Tel: +86-21-55271290; Bing Xu, School of Anesthesiology, Second Military Medical University/Naval Medical University, 800 Xiangyin Road, Shanghai 200433, China. E-mail: mzxubing1992@163.com, Tel: +86-21-81872030; Zhanheng Chen, School of Anesthesiology, Second Military Medical University/Naval Medical University, 800 Xiangyin Road, Shanghai 200433, China. E-mail: chenzhanheng17@mails.ucas.ac.cn, Tel: +86 21 81872034.

Received July 19, 2023; Accepted September 6, 2023; Published September 30, 2023

DOI: https://doi.org/10.61189/663074tcakcn

Highlights

● Medical endoscopic images can provide doctors with more accurate, visualized, and three-dimensional views of various internal tissues.

● Image processing techniques such as image denoising, image deblurring, image enhancement, and image segmentation can improve the imaging quality of endoscopes.

Abstract

In the modern medical diagnosis, digital medical images can provide physicians with a more accurate, visualized, and three-dimensional view of various tissues. These images assist in predicting, diagnosing, and treating diseases. However, medical images are highly susceptible to noise contamination from the influence of imaging equipment and the capture process, which poses a significant challenge in the analysis of medical images. This review summarizes the image processing technologies applied in endoscopy, such as image denoising, image deblurring, image enhancement, and image segmentation, involving traditional computational models and deep learning algorithms used in these technologies. Additionally, the clinical applications of these techniques are also discussed.

Keywords: Endoscopy, image denoising, image deblurring, image enhancement, image segmentation, artificial intelligence

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