A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
-
Updated
Aug 2, 2024 - Jupyter Notebook
#
attention-gate
Here are 5 public repositories matching this topic...
This repository contains the source code for my paper on masked face segmentation. Utilizing PyTorch, we developed a deep learning segmentation network to accurately identify mask regions on faces.
open-source deep-learning encoder decoder pytorch dataset segmentation face-recognition semantic-segmentation attention-gate attention-networks covid-19 masked-faces hybrid-loss masked-face-segmentation-dataset boundary-aware-attention
-
Updated
Mar 10, 2025 - Python
U-Net + Attention, extending U-Net model for semantic segmentation. Implemented with TensorFlow.
tensorflow attention semantic-segmentation encoder-decoder attention-model u-net multi-scale attention-to-scale attention-gate
-
Updated
May 11, 2019 - Python
Implementation of a compact Attention Half U-Net with Attention Gates and Squeeze-and-Excitation blocks for medical image segmentation. Features a modular PyTorch pipeline, BCE-Dice hybrid loss, mixed-precision training, cosine annealing scheduler, and reproducible evaluation tools.
computer-vision deep-learning pytorch medical-image-segmentation unet-pytorch dice-loss attention-gate binary-segmentation squeeze-excitation
-
Updated
Nov 27, 2025 - Python
Lightweight UAV semantic segmentation with dynamic convolution, attention gates, and deep supervision (Applied Sciences submission)
-
Updated
Apr 7, 2026 - Python
Improve this page
Add a description, image, and links to the attention-gate topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the attention-gate topic, visit your repo's landing page and select "manage topics."