Tag: multi-organ segmentation

A new federated framework fine-tunes the Segment Anything Model for multi-organ segmentation by training only tiny low-rank adapters on quantized ...

A new semi-supervised AI framework called URDT-Net combines dual-teacher learning, topology-aware training, and an early-exit mechanism to segment abdominal organs ...

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 unified scoring method that combines multiple accuracy metrics with model confidence to provide a more clinically ...