Abstract: Medical image classification is crucial for diagnosis and treatment, benefiting significantly from advancements in artificial intelligence. The paper reviews recent progress in the field, focusing on three levels of solutions: basic, specific, and applied. It highlights advances in traditional methods using deep learning models like Convolutional Neural Networks and Vision Transformers, as well as state-of-the-art approaches with Vision-Language Models. These models tackle the issue of limited labeled data, and enhance and explain predictive results through Explainable Artificial Intelligence.

Loan Dao and Ngoc Quoc Ly. “Recent Advances in Medical Image Classification”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.7 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0150727

@article{Dao2024,
title = {Recent Advances in Medical Image Classification},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150727},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150727},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {7},
author = {Loan Dao and Ngoc Quoc Ly}
}