Segmentation models with pretrained backbones. PyTorch.
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Updated
May 16, 2024 - 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 ++
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
Brain Tumor Segmentation done using U-Net Architecture.
This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
PyTorch-Code for the Paper "SmaAt-UNet: Precipitation Nowcasting using a Small, Attentive UNet-Architecture"
Open solution to the Data Science Bowl 2018
A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder
Official repo for Medical Image Segmentation Review: The success of U-Net
This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.
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
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
This repository contains the code for semantic segmentation of the retina blood vessel on the DRIVE dataset using the PyTorch framework.
Automatic information extraction from identity card with ocr
Real time crack segmentation using PyTorch, OpenCV and ONNX runtime
[ICIVC 2019] "LSTM multi-modal UNet for Brain Tumor Segmentation"
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