Polypoid Lesion Segmentation Using YOLO-V8 Network in Wireless Video Capsule Endoscopy Images

Author:

Sahafi Ali1ORCID,Koulaouzidis Anastasios2345ORCID,Lalinia Mehrshad1

Affiliation:

1. Department of Mechanical and Electrical Engineering, Digital and High-Frequency Electronics Section, University of Southern Denmark, 5230 Odense, Denmark

2. Surgical Research Unit, Odense University Hospital, 5000 Svendborg, Denmark

3. Department of Clinical Research, University of Southern Denmark, 5230 Odense, Denmark

4. Department of Medicine, OUH Svendborg Sygehus, 5700 Svendborg, Denmark

5. Department of Social Medicine and Public Health, Pomeranian Medical University, 70204 Szczecin, Poland

Abstract

Gastrointestinal (GI) tract disorders are a significant public health issue. They are becoming more common and can cause serious health problems and high healthcare costs. Small bowel tumours (SBTs) and colorectal cancer (CRC) are both becoming more prevalent, especially among younger adults. Early detection and removal of polyps (precursors of malignancy) is essential for prevention. Wireless Capsule Endoscopy (WCE) is a procedure that utilises swallowable camera devices that capture images of the GI tract. Because WCE generates a large number of images, automated polyp segmentation is crucial. This paper reviews computer-aided approaches to polyp detection using WCE imagery and evaluates them using a dataset of labelled anomalies and findings. The study focuses on YOLO-V8, an improved deep learning model, for polyp segmentation and finds that it performs better than existing methods, achieving high precision and recall. The present study underscores the potential of automated detection systems in improving GI polyp identification.

Publisher

MDPI AG

Reference48 articles.

1. Lalinia, M., and Sahafi, A. (2023). Signal, Image and Video Processing, Springer.

2. Edge artificial intelligence wireless video capsule endoscopy;Sahafi;Sci. Rep.,2022

3. Epidemiology of cancer of the small intestine;Pan;World J. Gastrointest. Oncol.,2011

4. Updates in the diagnosis and management of small-bowel tumors;Vlachou;Best Pract. Res. Clin. Gastroenterol.,2023

5. Dual encoder–decoder-based deep polyp segmentation network for colonoscopy images;Lewis;Sci. Rep.,2023

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3