Tag: Medical Imaging

Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...

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

A Memorial Sloan Kettering feasibility study found that ChatGPT-4 could plan CT-guided lung biopsy trajectories that were safe in 93 ...

A two-sequence abbreviated MRI protocol using hepatobiliary phase imaging detected recurrent hepatocellular carcinoma after microwave ablation with 87.5 percent sensitivity ...

Researchers have used conditional generative diffusion models to complete truncated X-ray projection data, substantially reducing artifacts in cone-beam CT reconstructions.

A head-to-head study of 155 patients found coronary CT angiography detected nearly all significant coronary blockages with 96 percent sensitivity, ...

A new study compares federated averaging, decentralized gossip learning, and a hybrid of the two for classifying invasive ductal carcinoma ...

Researchers have externally validated an automated pipeline that measures paraspinal muscle size and fat content at the L3-L4 level on ...

A new peer-reviewed study compares three deep learning approaches for detecting stroke lesions on contrast-free MRI, finding that the self-configuring ...

Researchers combined a vision transformer with a convolutional network and tuned the pair using whale- and swarm-inspired algorithms, reaching 96.27 ...