Multi-Modal Medical Image Fusion Using Hybrid CNN-Transformer Models for Early Detection of Chronic Diseases
Chronic disease early and accurate detection is a major healthcare issue nowadays, and most importantly, there is the rising prevalence or use of heterogeneous medical image data such as CT, MRI, X-ray, and retinal scans. Conventional models of deep learning such as CNNs perform well on spatial aspects of feature extra...