Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)

Colonoscopy is an important technical means for screening early colorectal cancer lesions. Accurate segmentation of intestinal polyps helps improve the accuracy of screening. Early screening for lesions is of great significance for the prevention of colorectal cancer, and the segmentation of intesti...

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Main Authors: Yukun AN, Biao ZHANG, Ming YANG, Qiyong LIN, Ping ZHOU
Format: Article
Language:zho
Published: Editorial Office of Chinese Journal of Medical Instrumentation 2024-11-01
Series:Zhongguo yiliao qixie zazhi
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Online Access:https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240235
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author Yukun AN
Biao ZHANG
Ming YANG
Qiyong LIN
Ping ZHOU
author_facet Yukun AN
Biao ZHANG
Ming YANG
Qiyong LIN
Ping ZHOU
author_sort Yukun AN
collection DOAJ
description Colonoscopy is an important technical means for screening early colorectal cancer lesions. Accurate segmentation of intestinal polyps helps improve the accuracy of screening. Early screening for lesions is of great significance for the prevention of colorectal cancer, and the segmentation of intestinal polyps is an important research direction. Although intestinal polyp segmentation based on deep learning has achieved acceptable performance, the color variation among intestinal endoscopic images significantly affects it. Based on the ResNet architecture, this study proposes an advanced PE-ResNet in which histogram equalization is used to reduce color influence. Experimental results on five datasets, including ClinicDB, demonstrate that the PE-ResNet model achieves improved performance in intestinal polyp segmentation.
format Article
id doaj-art-cbfae835656246dd8f64b5e94ba0f48c
institution Kabale University
issn 1671-7104
language zho
publishDate 2024-11-01
publisher Editorial Office of Chinese Journal of Medical Instrumentation
record_format Article
series Zhongguo yiliao qixie zazhi
spelling doaj-art-cbfae835656246dd8f64b5e94ba0f48c2024-12-06T02:17:54ZzhoEditorial Office of Chinese Journal of Medical InstrumentationZhongguo yiliao qixie zazhi1671-71042024-11-0148660761210.12455/j.issn.1671-7104.2402352024-0235Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)Yukun AN0Biao ZHANG1Ming YANG2Qiyong LIN3Ping ZHOU4National Institutes for Food and Drug Control, Beijing, 100050School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096Chongqing Key Laboratory for Metallurgical Intelligent Equipment, Chongqing, 400013School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096Colonoscopy is an important technical means for screening early colorectal cancer lesions. Accurate segmentation of intestinal polyps helps improve the accuracy of screening. Early screening for lesions is of great significance for the prevention of colorectal cancer, and the segmentation of intestinal polyps is an important research direction. Although intestinal polyp segmentation based on deep learning has achieved acceptable performance, the color variation among intestinal endoscopic images significantly affects it. Based on the ResNet architecture, this study proposes an advanced PE-ResNet in which histogram equalization is used to reduce color influence. Experimental results on five datasets, including ClinicDB, demonstrate that the PE-ResNet model achieves improved performance in intestinal polyp segmentation.https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240235intestinal polypsegmentationresnethistogram equalization
spellingShingle Yukun AN
Biao ZHANG
Ming YANG
Qiyong LIN
Ping ZHOU
Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
Zhongguo yiliao qixie zazhi
intestinal polyp
segmentation
resnet
histogram equalization
title Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
title_full Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
title_fullStr Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
title_full_unstemmed Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
title_short Intestinal Polyp Segmentation Based on Histogram Equalization ResNet (PE-ResNet)
title_sort intestinal polyp segmentation based on histogram equalization resnet pe resnet
topic intestinal polyp
segmentation
resnet
histogram equalization
url https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240235
work_keys_str_mv AT yukunan intestinalpolypsegmentationbasedonhistogramequalizationresnetperesnet
AT biaozhang intestinalpolypsegmentationbasedonhistogramequalizationresnetperesnet
AT mingyang intestinalpolypsegmentationbasedonhistogramequalizationresnetperesnet
AT qiyonglin intestinalpolypsegmentationbasedonhistogramequalizationresnetperesnet
AT pingzhou intestinalpolypsegmentationbasedonhistogramequalizationresnetperesnet