Tag: U-Net

A new dual-branch U-Net called PDSA-DBUNet combines dynamic sparse attention with a polynomial mixer to achieve record abdominal CT segmentation ...

A two-stage Vision Transformer–U-Net pipeline restores reliable detection of rare voids in concrete X-ray CT images where single-stage deep learning ...

A new hybrid deep learning architecture combining a fine-tuned U-Net with a time-weighted multi-task bi-directional LSTM significantly improves real-time detection ...

Researchers have built a hybrid transformer-U-Net that segments diabetic foot ulcers with expert-level overlap and quantitatively explainable visualisations.

Researchers have developed CHS-Net, a hybrid deep learning architecture that sets a new benchmark for segmenting cracks, erosion, and delamination ...

Researchers have developed a dual-stream convolutional neural network that fuses RGB imagery with vectorized Error Level Analysis and CBAM attention ...

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 ...