A review of deep learning-based information fusion techniques for multimodal medical image classification

arXiv:2404.15022v1 Announce Type: new
Abstract: Multimodal medical imaging plays a pivotal role in clinical diagnosis and research, as it combines information from various imaging modalities to provide a more comprehensive understanding of the underlying pathology. Recently, deep learning-based multimodal fusion techniques have emerged as powerful tools for improving medical image classification. This review offers a thorough analysis of the developments in deep learning-based multimodal fusion for medical classification tasks. We explore the complementary relationships among prevalent clinical modalities and outline …

abstract arxiv classification clinical cs.ai cs.cv deep learning diagnosis fusion image imaging information medical medical imaging multimodal pathology pivotal research review role tools type understanding