GitHub topics: unet-architecture
kzaleskaa/depth-estimation-with-compression
Development of a depth estimation model based on a UNET architecture - connection of Bi-directional Feature Pyramid Network (BIFPN) and EfficientNet.
Language: Python - Size: 484 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
YoussefAboelwafa/Retina_Blood_Vessel_Segmentation
The project involves using a dataset of 100 high-resolution retinal fundus images for blood vessel segmentation to aid in early detection of retinal pathologies | Implemented U-Net architecture from scratch, known for its efficiency in semantic segmentation with limited data | The final model achieved 86% IoU score | PyTorch Lightning
Language: Python - Size: 63.5 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
shalabh147/Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks
Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
Language: Jupyter Notebook - Size: 282 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 140 - Forks: 37
smalldan1022/Unet
This is a tensorflow 2.2 version Unet, for the purpose of using Unet with a new version of tensorflow.
Language: Python - Size: 1.69 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
