Miccai Educational Challenge 2019
Tutorial about combining PyTorch and NiftyNet for deep learning and medical image computing
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Monai | 5,010 |  | 48 | 3 months ago | 77 | October 12, 2023 | 268 | apache-2.0 | Python | |
| AI Toolkit for Healthcare Imaging | ||||||||||
| Torchio | 1,904 |  | 29 | 3 months ago | 245 | November 24, 2023 | 44 | apache-2.0 | Python | |
| Medical imaging toolkit for deep learning | ||||||||||
| 3dunetcnn | 1,750 | 3 months ago | 8 | mit | Python | |||||
| Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation | ||||||||||
| Unet Family | 1,029 | 4 years ago | 4 | Python | ||||||
| Paper and implementation of UNet-related model. | ||||||||||
| Medmnist | 903 | 3 months ago | 7 | August 17, 2023 | 1 | apache-2.0 | Python | |||
| [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification | ||||||||||
| Medicalzoopytorch | 896 | 2 years ago | 13 | mit | Python | |||||
| A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation | ||||||||||
| Torchxrayvision | 760 |  | 1 | 4 months ago | 43 | October 04, 2023 | 18 | apache-2.0 | Jupyter Notebook | |
| TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders. | ||||||||||
| Medicaltorch | 724 | 3 years ago | 2 | November 24, 2018 | 14 | apache-2.0 | Python | |||
| A medical imaging framework for Pytorch | ||||||||||
| Pytorch Medical Segmentation | 536 | 2 years ago | 3 | mit | Python | |||||
| This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D. | ||||||||||
| Vnet.pytorch | 421 | 6 years ago | 20 | bsd-3-clause | Python | |||||
| A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation | ||||||||||
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