A review of deep learning-based information fusion techniques for multimodal medical image classification - IMT Atlantique
Article Dans Une Revue Computers in Biology and Medicine Année : 2024

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

Résumé

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 learningbased multimodal fusion for medical classification tasks. We explore the complementary relationships among prevalent clinical modalities and outline three main fusion schemes for multimodal classification networks: input fusion, intermediate fusion (encompassing single-level fusion, hierarchical fusion, and attention-based fusion), and output fusion. By evaluating the performance of these fusion techniques, we provide insight into the suitability of different network architectures for various multimodal fusion scenarios and application domains. Furthermore, we delve into challenges related to network architecture selection, handling incomplete multimodal data management, and the potential limitations of multimodal fusion. Finally, we spotlight the promising future of Transformer-based multimodal fusion techniques and give recommendations for future research in this rapidly evolving field.
Fichier principal
Vignette du fichier
1-s2.0-S0010482524007200-main.pdf (4.44 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-04580775 , version 1 (29-10-2024)

Licence

Identifiants

Citer

Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, Rachid Zeghlache, Hugo Le Boité, et al.. A review of deep learning-based information fusion techniques for multimodal medical image classification. Computers in Biology and Medicine, 2024, 177, pp.108635. ⟨10.1016/j.compbiomed.2024.108635⟩. ⟨hal-04580775⟩
44 Consultations
4 Téléchargements

Altmetric

Partager

More