Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization

Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization

Abstract Gastric Tract Disease (GTD) constitutes a medical emergency, emphasizing the critical importance of early diagnosis and intervention to lessen its severity. Clinical practices often utilize endoscopy-supported examinations for GTD screening. The images obtained during this procedure are exa...

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Bibliographic Details
Main Authors: Fadiyah M. Almutairi, Sara A. Althubiti, Shabnam Mohamed Aslam, Habib Dhahri, Omar Alhajlah, Nitin Mittal
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Autoimmune gastritis
Endoscopy images
Entropy thresholding
Moth-Flame algorithm
Deep-learning
Classification
Online Access:https://doi.org/10.1038/s41598-025-08249-y
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https://doi.org/10.1038/s41598-025-08249-y

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