BIOENGINEER

MLP mixer blocks with channel attention sharpen medical image segmentation

A new MLP-based segmentation method combining mixer layers with channel attention achieved a Dice coefficient of 81.45 ...
BIOENGINEER

Multi-scale transformer network sharpens brain tumor segmentation on MRI scans

A new deep learning network called MTF-Net combines multi-scale transformer attention with cross-branch feature fusion to ...
EurekAlert!

Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...
newswise

Pixel-level Crack Segmentation of Tunnel Lining Segments Based on an Encoder–Decoder Network

To ensure the safety and stability of tunnels, regular detection and repair of lining cracks are essential. With the development of computer vision, structural health monitoring has been significantly ...