Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform

Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform

Gastrointestinal (GI) diseases are a significant global health issue, causing millions of deaths annually. This study presents a novel method for classifying GI diseases using endoscopy videos. The proposed method involves three major phases: image processing, feature extraction, and classification....

Full description

Saved in:
Bibliographic Details
Main Authors: Biniyam Mulugeta Abuhayi, Yohannes Agegnehu Bezabh, Aleka Melese Ayalew, Miraf Alemayehu Lakew
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2024/8334358
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items