There are 1 repository under attention-unet topic.
The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.
Retinal vessel segmentation using U-NET, Res-UNET, Attention U-NET, and Residual Attention U-NET (RA-UNET)
Hierarchical probabilistic 3D U-Net, with attention mechanisms (βππ΅π΅π¦π―π΅πͺπ°π― π-ππ¦π΅, ππππ¦π΄ππ¦π΅) and a nested decoder structure with deep supervision (βπππ¦π΅++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
Evaluate the feasibility of attention-gated 3D U-Net for knowledge-based planning dose prediction of head-and-neck radiotherapy.
This is provisional codes for a conference paper titled "Robustness of Probabilistic U-Net for Automated Segmentation of White Matter Hyperintensity in Different Datasets of Brain MRI".
Compare various deep learning-based knowledge-based planning methods for 3D dose distribution prediction of the head and neck plans.
"Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray" by Debojyoti Pal, Pailla Balakrishna Reddy, and Sudipta Roy.
a dual Attention U2Net and lightweighting model
Brain tumor segmentation
Deep neural networks in structural health monitoring
Rasa breast cancer radiology AI chatbot to help doctor segment lesions using Unity, Keras Attention UNet, LinkNet, etc
Baseline model for BKAI-IGH_Neopolyp. Currently supports Unet and Attention Unet with VGG-16, MobilenetV2 and Efficientnet-B0 backbone. This repository is private therefore not a official implementation from BKAI.
Deep Learning with CNNs course project
Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.
Official implementation utilised on the paper: Disagreement attention: Let us agree to disagree on computed tomography segmentation
3D U-net, Attention U-net, Res U-net, Attention Res U-net, and MSRes U-net are implemented and compared for emulation of current density induced during transcranial direct current stimulation (tDCS).
A Satellite Semantic Segmentation Project using Unet and Attention Unet with Pytorch,
Advanced tumor segmentation using Attention U-Net on MIP-PET images for DM i AI 2023.
Project based on Neural Style Transfer, implemented using a CycleGan architecture
Performance of various image segmentation models.
Several deep learning methods has applied for example datasets
Wound segmentation