Tag: ResNet

Neural-aided inertial tracking reduced mean position error to 2.91 metres for two walking dogs, while the best configuration differed between ...

A new study shows that synthetic relative T1/T2 maps reconstructed from routine MRI sequences modestly but consistently improve U-Net-based segmentation ...

Researchers at the University of Ottawa have developed a dual-agent reinforcement learning framework that values soccer actions by modeling both ...

A new two-stage AI framework detects age-related macular degeneration in OCT scans with up to 98 percent accuracy and grades ...

A convolutional neural network trained with transfer learning can identify angiographic patterns of cystoid macular edema in retinal vasculitis patients, ...

A spatiotemporal attention network that reads fNIRS blood-oxygen signals while patients listen to music classifies levels of consciousness with 88.72 ...

A multimodal deep learning model combining MRI scans with clinical data classifies Alzheimer's disease stages with up to 95 percent ...

A dual-center study reports a two-stage deep learning network that predicts hidden central lymph node metastasis in surveillance-eligible papillary thyroid ...

Researchers have unveiled a collaborative encryption framework that trains deep learning models on sensitive data up to three times faster ...

A new self-supervised framework called AnomalyMHKD combines self-distillation, cross-architecture distillation and dynamic teacher freezing to detect industrial anomalies with up ...