Segmentation models with pretrained backbones. PyTorch.
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Updated
Mar 3, 2023 - Python
Segmentation models with pretrained backbones. PyTorch.
3D U-Net model for volumetric semantic segmentation written in pytorch
Open solution to the Mapping Challenge
Pytorch implementation of ResUnet and ResUnet ++
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017
Brain Tumor Segmentation done using U-Net Architecture.
Open solution to the Data Science Bowl 2018
A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
Official repo for Medical Image Segmentation Review: The success of U-Net
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.
Liver Lesion Segmentation with 2D Unets
Repository containing the source code of the IVD-Net segmentation network that we proposed for the MICCAI 2018 IVD segmentation challenge.
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
Can you detect and classify defects in steel? Segmentation in Pytorch
PyTorch implementation for Semantic Segmentation, include FCN, U-Net, SegNet, GCN, PSPNet, Deeplabv3, Deeplabv3+, Mask R-CNN, DUC, GoogleNet, and more dataset
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