A Survey of Multi-Abnormalities Disease Detection and Classification in WCE

R. Ponnusamy, S. Sathiamoorthy and R. Visalakshi
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R. Ponnusamy: Annamalai University, Department of Computer and Information Science
S. Sathiamoorthy: Annamalai University, Department of Computer and Information Science
R. Visalakshi: Annamalai University, Department of Information Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 889-898 from Springer

Abstract: Abstract This paper reviews on detection and classification of multi-abnormalities occur in small bowel region. Multi-abnormalities like ulcer, bleeding, polyp and tumor are caught by utilizing Wireless Capsule Endoscopy (WCE). WCE images are utilized to diagnosis the infections in the stomach related tract. To identify and detect the diseases which occur in small bowl is difficult for human to recognize the exact type of disease. To overcome this problem, various Image processing and machine learning techniques are utilized over the decade to detect and identify the diseases more accurately are discussed in this paper.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_90

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DOI: 10.1007/978-3-030-41862-5_90

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