Review Article
Open Access

Research progress of frontier image processing in medical endoscopes

Jinjing Wu
Jinjing Wu
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
,
Yang Yuan
Yang Yuan
School of Computer Science and Artificial Intelligence, Changzhou University, Jiangsu 213164, China.
,
Long Liu
Long Liu
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
,
Haipo Cui
Haipo Cui
h_b_cui@163.com
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
,
Tianying Xu
Tianying Xu
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Miao Zhou
Miao Zhou
Department 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.
,
Zhanheng Chen
Zhanheng Chen
chenzhanheng17@mails.ucas.ac.cn
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Bing Xu
Bing Xu
mzxubing1992@163.com
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
Address correspondence to
Article notes
Highlights
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
  • 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.

Review Article
Open Access
Research progress of frontier image processing in medical endoscopes
Jinjing Wu
Jinjing Wu
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
,
Yang Yuan
Yang Yuan
School of Computer Science and Artificial Intelligence, Changzhou University, Jiangsu 213164, China.
,
Long Liu
Long Liu
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
,
Haipo Cui
Haipo Cui
h_b_cui@163.com
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
,
Tianying Xu
Tianying Xu
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Miao Zhou
Miao Zhou
Department 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.
,
Zhanheng Chen
Zhanheng Chen
chenzhanheng17@mails.ucas.ac.cn
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
,
Bing Xu
Bing Xu
mzxubing1992@163.com
School of Anesthesiology, Second Military Medical University/Naval Medical University, Shanghai 200433, China.
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. 
Article notes
Received July 19, 2023; Accepted September 6, 2023; Published September 30, 2023
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.

2023 Sept;1(2):62-77
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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
Perioperative Precision Medicine

ISSN: 2957-5443

Volume 1, Issue 2

September 2023

Pages: 48-100

PDF CITE Accesses: 23
Perioperative Precision Medicine
ISSN: 2957-5443
ZENTIME PUBLISHING CORPORATION LIMITED
On This Page
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On This Page
Abstract