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What is Explainable AI for Capsule Endoscopy Images about?

This study investigates the use of Explainable AI (XAI) techniques in enhancing the reliability of deep learning models for wireless capsule endoscopy image classification. By applying various transfer learning models to the Kvasir-capsule dataset, the Vision Transformer achieved an F1-score of 97%, outperforming other models. The research emphasizes the importance of understanding model decision-making processes through XAI methods like GradCAM and SHAP to improve diagnostic efficiency in gastrointestinal

Author

viktha1208

Language

EN