Tag: deep learning in medical imaging

Researchers in Ethiopia have built an interpretable deep learning ensemble that identifies malaria parasite species from thin blood smears with ...

Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...

A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...

A new U-shaped deep learning network with an attention fusion module outperforms established models in segmenting the liver and its ...

Researchers in Lübeck have trained a neural network to reconstruct CT images using only raw X-ray measurements and scanner physics, ...

Researchers have developed an AI framework that automatically segments 19 torso muscles and two fat compartments in CT scans and ...

Researchers in China have developed REF-VMUNetUp, a Mamba-based network with rotary position embeddings and dynamic upsampling that improves multi-organ segmentation ...

Researchers have developed a transformer-based multimodal AI model that accurately identifies sarcopenia and severe sarcopenia in gastric cancer patients using ...

Artificial intelligence may soon be able to detect one of breast cancer's most dangerous hidden features before a surgeon ever ...

Lung cancer is the world's deadliest cancer, and yet the way medicine measures it has barely changed in decades. A ...