Abstract: As a promising paradigm, federated learning has been applied to multimodal sensing tasks due to its deployment convenience. However, the recent advances in multimodal federated learning ...
Multimodal Remote Sensing Object Detection Based on Prior-Enhanced Mixture-of-Experts Fusion Network
Abstract: Multimodal remote sensing image object detection enhances detection accuracy by fusing complementary information from multimodal image data. However, complex environments significantly ...
Objective: This study aims to evaluate the diagnostic performance of diffusion-weighted imaging (DWI) with a fractional order calculus (FROC) model for differentiating breast lesions and to explore ...
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