Tag: U-Net

Researchers in China have developed a U-Net-based deep learning framework that measures fetal ventricular width from ultrasound with near-expert consistency, ...

A new deep learning model called BiConvLSTM-UNet can restore missing regions in weather radar mosaic data without requiring any map ...

A new benchmark dataset of nearly 9,000 drone-image patches shows deep learning models dramatically outperform classical image filters in automatically ...

A new deep learning framework called MedSegNet-AXU segments multiple sclerosis lesions from 3D MRI with a 98.58 percent Dice score ...

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 ...