Tag: deep learning for medical imaging

A narrative review finds that deep-learning synthetic CT can improve cone-beam CT images and dose calculations, but clinical validation remains ...

Diabetic foot ulcers are among the most feared complications of diabetes, and now a team of researchers in India has ...

A topology-aware deep learning model keeps coronary vessels connected in noisy X-ray angiograms, reaching 88.3 percent Dice on the DCA1 ...

A new dual-branch U-Net called PDSA-DBUNet combines dynamic sparse attention with a polynomial mixer to achieve record abdominal CT segmentation ...

A multicenter study found that a deep learning model analyzing full ultrasound videos significantly improved diagnostic accuracy for suspicious breast ...

A two-stage deep learning framework can automatically segment subpleural lung lesions on grayscale ultrasound and distinguish benign from malignant cases, ...

Researchers built an expert-annotated Chinese knee MRI dataset and an optimized Swin-Unet Transformer model that segments femoral and tibial cartilage ...

Researchers in China have developed MAF-Net, a multi-scale attention fusion network that achieves a record Dice score of 85.47 percent ...

Researchers have unveiled TomoMamba, a two-stage AI framework that uses selective state-space models to propagate features across DBT slices, achieving ...

Researchers have combined dual optical frequency combs with a Transformer-based deep learning model to achieve video-rate single-pixel imaging through a ...