Tag: Medical Imaging

Researchers have unveiled xvr, a self-supervised AI framework that adapts a pretrained neural network to any patient's anatomy in about ...

Researchers in China have developed a neighbor-constrained attention framework that improves how artificial intelligence classifies gigapixel whole-slide pathology images by ...

A Chinese cohort study finds virtual reality anatomy students matched cadaver-trained peers on immediate tests but pressed harder on real ...

Researchers have developed a two-level evaluation framework showing that synthetic vertebrae which score highly on geometric similarity can still fail ...

Researchers fine-tuned the Cellpose-SAM model to separate overlapping cervical cells in Pap-smear images, achieving improved segmentation accuracy on an independent ...

Diffusion MRI tractography can sculpt smaller, smarter radiation targets for glioblastoma that follow the brain's white matter highways and captured ...

A patient-specific computational study of 20 coarctation patients shows that the angle and shape of the descending aorta downstream of ...

A deep learning model from MD Anderson analyzes routine pretreatment chest CT scans to predict which lung cancer patients will ...

A hybrid quantum-classical neural network with deep spatial attention has achieved 92.38 percent leakage-free accuracy in classifying skin lesions on ...

A small retrospective study found that a generative AI model could propose theoretically safe CT-guided liver biopsy trajectories in about ...