Comparative evaluation of CAM methods for enhancing explainability in veterinary radiography

Comparative evaluation of CAM methods for enhancing explainability in veterinary radiography

Abstract Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used for visual interpretability. However, systematic evaluations of these methods in veterinary...

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Bibliographic Details
Main Authors: Piotr Dusza, Tommaso Banzato, Silvia Burti, Margherita Bendazzoli, Henning Müller, Marek Wodzinski
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Interpretability
Explainability
GradCAM
XAI
Deep learning
Veterinary
Online Access:https://doi.org/10.1038/s41598-025-14060-6
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