Enhancing Medical Image Classification with Unified Model Agnostic Computation and Explainable AI
<i>Background</i>: Advances in medical image classification have recently benefited from general augmentation techniques. However, these methods often fall short in performance and interpretability. <i>Objective</i>: This paper applies the Unified Model Agnostic Computation (...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
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| Series: | AI |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-2688/5/4/111 |