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
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
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.
U-Net + Attention, extending U-Net model for semantic segmentation. Implemented with TensorFlow.
Add a description, image, and links to the attention-gate topic page so that developers can more easily learn about it.
To associate your repository with the attention-gate topic, visit your repo's landing page and select "manage topics."