Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images

Gastrointestinal abnormality detection and classification using empirical wavelet transform and deep convolutional neural network from endoscopic images

With an intention to assist gastroenterologists, this work proposes an intelligent method to classify alimentary canal diseases such as Barrett’s, Esophagitis, Hemorrhoids, Polyps, and Ulcerative colitis by using empirical wavelet transform (EWT) and convolutional neural network (CNN). Here, a publi...

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Bibliographic Details
Main Authors: Subhashree Mohapatra, Girish Kumar Pati, Manohar Mishra, Tripti Swarnkar
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:Ain Shams Engineering Journal
Subjects:
Artificial intelligence
Discrete wavelet transform
Empirical wavelet transform
Convolutional neural network
Gastrointestinal tract
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447922002532

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http://www.sciencedirect.com/science/article/pii/S2090447922002532

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