Tag: U-Net

Researchers at the University of Malta and the University of Pittsburgh trained a modified U-Net on 95,000 synthetic microscopy images ...

A South Korean team has combined U-Net segmentation, hyperbolic mathematical modeling, and Fast R-CNN classification to automate suprahyoid muscle ultrasound ...

Researchers in Uruguay have released complete open-source designs for a 1,110-dollar robotic gantry that combines RGB and thermal imaging to ...

Researchers have built a two-stage deep learning workflow that converts routine brain MRI into CT-like images and attenuation-corrected PET scans, ...

Researchers have developed a Swin Transformer-based U-Net with a novel SECA cross-attention decoder that improves breast tumor segmentation accuracy across ...

Researchers trained three U-Net models to segment bone ingrowth in micro-CT scaffold images and found that standard segmentation metrics can ...

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

Researchers have unveiled ANNE, a compact segmentation network that pairs Mamba state-space modeling with adaptive polynomial neuron expansion to match ...

A Huazhong Agricultural University team has developed IncResUnet, a deep learning model that detects ionospheric plasma bubbles far more reliably ...