Hee Jung Hong, Brian Minikin
Voices from the field: exploring practitioners' experiences and perceptions of the voices of athletes (VOA) in the pacific islands
Frontiers in sports and active living
multimodal medical imaging plays pivotal role clinical diagnosis research combines information various imaging modalities provide comprehensive understanding underlying pathology recently deep learningbased multimodal fusion techniques emerged powerful tools improving medical image classification review offers thorough analysis developments deep learningbased multimodal fusion medical classification tasks explore complementary relationships among prevalent clinical modalities outline three main fusion schemes multimodal classification networks input fusion intermediate fusion encompassing singlelevel fusion hierarchical fusion attentionbased fusion output fusion evaluating performance fusion techniques provide insight suitability different network architectures various multimodal fusion scenarios application domains furthermore delve challenges related network architecture selection handling incomplete multimodal data management potential limitations multimodal fusion finally spotlight promising future transformerbased multimodal fusion techniques give recommendations future research rapidly evolving field