IEEE

Multimodal Learning for Enhanced Detection in Oral Cancer Screening

Abstract: Multimodal deep learning integrates diverse data types to enhance model performance by capturing complex interactions between different modalities. Traditional models Fare limited to single ...
Frontiers

LEM-UNet: an edge-guided network for 3D multimodal images segmentation in focal cortical dysplasia

1 School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China 2 Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China ...
IEEE

MultiRegNet: A Novel Multimodal Registration Network Framework for the 3-D CT-Volume and 3-D Point Cloud Data

Abstract: Cultural heritage preservation benefits greatly from integrating multimodal data, such as point clouds and 3-D computed tomography (3DCT), for artifact analysis, damage detection, and ...
Frontiers

Combined with multimodal medical imaging and artificial intelligence for early diagnosis of Parkinson's disease

Parkinson's disease (PD), also known as “shaking palsy,” is the second most common neurodegenerative disease in the world. Its main symptoms are divided into motor: static tremor, bradykinesia, ...