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Automated detection of Barrett’s esophagus using endoscopic images: a survey

Version 2 2024-03-12, 15:31
Version 1 2024-03-01, 10:13
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posted on 2024-03-12, 15:31 authored by Noha Ghatwary, Amr Ahmed, Xujiong Ye
<p>Barrett’s Esophagus (BE) is the predominant sign leading to esophageal adenocarcinoma (EAC) which is cancerous. Esophageal cancer has shown a very low survival rate in the last decade. Early detection of BE, and monitoring cells development is an effective way to control the progression of the cell transform into EAC in the lining of the esophagus. The examination of BE is done by using one the different endoscopy tools, the appearance of endoscopic imaging techniques created the opportunity for computer-aided detection (CAD) systems to develop more frequently. Such methods intend to help physicians by identifying abnormalities more accurately. The purpose of this survey is to discuss advances in the development of BE CAD systems as it has only started to grab attention recently. Starting with a brief introduction about endoscopy modalities used for esophageal examination. Then focusing on detection methods lately developed for BE detection. Remaining challenges are mentioned and some directions for future research are given.</p>

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

Medical image understanding and analysis

Issue

723

Pages/Article Number

897-908

Publisher

Springer

ISBN

0

Date Submitted

2017-07-05

Date Accepted

2017-06-22

Date of First Publication

2017-06-22

Date of Final Publication

2017-06-22

Date Document First Uploaded

2017-07-05

ePrints ID

27803

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