Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine
Traditional diagnostic methods in biomedicine are often constrained by subjectivity, misdiagnosis, and the inability to efficiently process large, complex, and multimodal datasets. Recent advances in deep learning and hybrid architectures have enabled the automated learning of discriminative representations from high‐d...