Transformer Models for Multimodal Medical Imaging in Low-Resource Settings

Abstrak

This study investigates transformer models for multimodal medical imaging in low-resource settings. Using rigorous methodology and comprehensive datasets collected across Indonesia, we demonstrate significant improvements. Findings contribute to the growing body of knowledge and have direct policy implications.