Transformer-based deep learning models for lung cancer detection and classification: a comprehensive review
A review of transformer-based architectures applied to lung cancer detection and classification highlights potential future directions, including model optimization, data standardization, and validation across diverse clinical environments, to enhance the reliability and integration of transformer-based models in healt...