A systematic review of ulcer detection methods in wireless capsule endoscopy

Q1 Medicine

Informatics in Medicine Unlocked Pub Date : 2024-01-01 DOI:10.1016/j.imu.2024.101600

Ahmmad Musha , Rehnuma Hasnat , Abdullah Al Mamun , Md Sohag Hossain , Md Jakir Hossen , Tonmoy Ghosh

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引用次数: 0

Abstract

Background

Ulcers are one of the most prevalent disorders in the gastrointestinal (GI) tract, affecting many people worldwide. Wireless capsule endoscopy (WCE) emerges as the most non-invasive way to diagnose ulcers in the GI tract. However, manually reviewing images captured by WCE is a tedious and time-consuming process. Implementing a computer-aided ulcer detection system can facilitate the automatic evaluation of these images.

Methods

Many researchers have proposed various models to develop automatic ulcer detection methods. This research aims to conduct a systematic review by scouring four repositories (Scopus, PubMed, IEEE Xplore, and ScienceDirect) for all original publications on computer-aided ulcer detection published between 2011 and 2024. The review follows the the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines.

Results

The full texts of 89 scientific articles were reviewed. The contributions of this paper are two-fold: I) it reports and summarizes the current state-of-the-art ulcer detection algorithms; and II) it finds the most appropriate and preferable method in terms of color space, region of interest selection, feature extraction, and classifier.

Conclusion

The paper concludes with a discussion of the challenges and futuredirections for ulcer detection.

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无线胶囊内窥镜溃疡检测方法系统综述

背景溃疡是胃肠道（GI）最常见的疾病之一，影响着世界各地的许多人。无线胶囊内窥镜（WCE）是诊断消化道溃疡的最无创方法。然而，手动查看无线胶囊内窥镜拍摄的图像是一个繁琐耗时的过程。实施计算机辅助溃疡检测系统可以促进对这些图像的自动评估。本研究旨在通过搜索四个资料库（Scopus、PubMed、IEEE Xplore 和 ScienceDirect），对 2011 年至 2024 年间发表的所有有关计算机辅助溃疡检测的原始出版物进行系统综述。本综述遵循了系统综述和元分析首选报告项目（PRISMA）指南。结果综述了 89 篇科学文章的全文。本文有两方面的贡献：I）报告并总结了当前最先进的溃疡检测算法；II）从色彩空间、感兴趣区选择、特征提取和分类器等方面找到了最合适、最可取的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Informatics in Medicine Unlocked Medicine-Health Informatics

CiteScore

9.50

自引率

0.00%

发文量

282

审稿时长

39 days

期刊介绍： Informatics in Medicine Unlocked (IMU) is an international gold open access journal covering a broad spectrum of topics within medical informatics, including (but not limited to) papers focusing on imaging, pathology, teledermatology, public health, ophthalmological, nursing and translational medicine informatics. The full papers that are published in the journal are accessible to all who visit the website.