Tag: nnU-Net

A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than ...

Researchers in Basel generated synthetic scoliosis-like CT scans by warping healthy spines, boosting AI segmentation accuracy on severely deformed vertebrae ...

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

A comparative study of 104 liver cancer patients shows that geometric, perfusion-based, and deep learning models each excel at different ...

A deep learning model segments fetal lungs on MRI in about four seconds with expert-level accuracy across diverse pulmonary hypoplasia ...

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 ...

Dutch researchers have developed a deep learning system that automatically divides CT scans into the thirteen anatomical regions used for ...

A nationwide study of 4,152 CT scans shows that automated radiomics of the proximal femur can estimate age, classify sex ...

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