Tag: U-Net

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 ...

Researchers at Xinjiang University developed BGAFS-UNet, a boundary-aware deep learning architecture that improves retinal vessel segmentation fidelity while openly documenting ...

Researchers at the Vellore Institute of Technology developed three hybrid deep learning models combining convolutional networks, transformers, and clinical metadata ...

A new study shows that synthetic relative T1/T2 maps reconstructed from routine MRI sequences modestly but consistently improve U-Net-based segmentation ...

Deep learning models trained on 35,060 synthetic image pairs automatically remove salt-and-pepper noise, ring artifacts, and beam-hardening distortions from micro-CT ...

Researchers in India have built a unified deep learning framework that classifies brain tumors in MRI scans with 98.52 percent ...

Researchers have combined a phase-dependent signal preprocessing step with a dual U-Net deep learning framework to reconstruct planar antenna array ...

Researchers at VIT-AP University have developed TF-Mamba-DPHNet, a compact Mamba-based AI framework that removes noise from speech while preserving fine ...