Semantic segmentation models with pretrained backbones. PyTorch.
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Updated
Jun 5, 2024 - Python
Semantic 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
This repository contains the code for semantic segmentation of the retina blood vessel on the DRIVE dataset using the PyTorch framework.
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.
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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