Endoscopic Image Analysis for Gastrointestinal Tract Disease Diagnosis Using Nature Inspired Algorithm With Deep Learning Approach

Endoscopic Image Analysis for Gastrointestinal Tract Disease Diagnosis Using Nature Inspired Algorithm With Deep Learning Approach

Endoscopic image analysis has played a pivotal function in the diagnosis and management of gastrointestinal (GI) tract diseases. Gastrointestinal endoscopy is a medical procedure where a flexible tube with an endoscope (camera) is inserted into the GI tract to visualize the inner lining of the colon...

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Bibliographic Details
Main Authors: Abdulrahman Alruban, Eatedal Alabdulkreem, Majdy M. Eltahir, Abdullah R Alharbi, Imene Issaoui, Ahmed Sayed
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Image processing
nature-inspired algorithms
deep learning
endoscopy images
gastrointestinal tract diseases
Online Access:https://ieeexplore.ieee.org/document/10319463/

Internet

https://ieeexplore.ieee.org/document/10319463/

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