Tag: U-Net

A new U-Net-based framework uses anatomy-guided, spatially varying regularization to reconstruct chest CT images from sparse-view data with improved performance ...

A genetically optimized U-Net framework segments athletes' bodies in video with high accuracy and flags visually abnormal knee, ankle, and ...

An integrated residual encoder-decoder framework achieved Dice scores of 0.9100 for whole tumor and 0.8151 for enhancing tumor segmentation on ...

A self-supervised, distillation-guided AI framework identifies cloud layers in multi-wavelength Raman lidar data and transfers to unseen CARLNET sites without ...

A systematic review of 127 studies finds deep learning tools for cerebrovascular planning advancing rapidly, while small vessel segmentation, material ...

A new non-iterative neural network called DNet-MRSP injects multi-resolution speckle priors into a U-Net decoder, achieving 0.00302-pixel displacement accuracy at ...

Researchers in Yunnan Province, China, have developed a low-cost method that counts tobacco plants from UAV imagery by tracing row ...

A three-stage CNN and transformer pipeline identified satellite image types and detected oil with high reported accuracy, while a lightweight ...

CTVSeg-UNet improved vein-pixel recall from 47.12% to 77.03% over standard U-Net while extracting more continuous tobacco leaf networks across curing ...

UAC-Net combined contextual attention and multi-scale feature fusion in a shared neural network that classified three brain-tumor types and delineated ...