Tag: 3D medical imaging
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POCUS Ultrasound Dataset for Image Quality Boost via cGAN
Enhance point-of-care ultrasound images with a paired dataset and cGAN baseline, improving diagnostic accuracy in low-resource settings.
Resource-Efficient Neural Architecture Search for Cardiac MRI
Discover CardiacNAS, a resource-aware evolutionary NAS framework optimizing cardiac MRI segmentation for accuracy and efficiency within computational limit...
Pan-FM: Robust Pan-Organ AI Model for Medical Imaging
Discover Pan-FM, a pan-organ AI model using saliency-guided masking to enhance robustness and accuracy in multimodal medical imaging with missing data.
Scaling Laws for Knowledge Transfer in 3D Medical Imaging
Explore how scaling laws optimize knowledge transfer across 3D medical imaging domains like CT, MRI, and PET for better AI model training.
Federated Learning Boosts Pediatric Organ Segmentation Accuracy
Discover how multi-center federated learning improves organs-at-risk segmentation for pediatric abdominal radiotherapy, overcoming data scarcity challenges...