Mirtorch
A PyTorch-powered differentiable image reconstruction/optimization toolbox
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Fastmri | 1,197 | 4 months ago | 5 | June 26, 2023 | 14 | mit | Python | |||
| A large-scale dataset of both raw MRI measurements and clinical MRI images. | ||||||||||
| Medmnist | 903 | 4 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 | ||||||||||
| Breast_cancer_classifier | 804 | 5 months ago | 1 | agpl-3.0 | Jupyter Notebook | |||||
| Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening | ||||||||||
| Torchxrayvision | 760 |  | 1 | 5 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 | ||||||||||
| All About The Gan | 602 | 6 years ago | 1 | mit | Python | |||||
| All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN | ||||||||||
| Monailabel | 496 | 4 months ago | 114 | October 01, 2023 | 96 | apache-2.0 | Python | |||
| MONAI Label is an intelligent open source image labeling and learning tool. | ||||||||||
| Medical Transformer | 484 | 2 years ago | 18 | mit | Python | |||||
| Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021 | ||||||||||
| Robot Surgery Segmentation | 475 | 5 years ago | 11 | mit | Jupyter Notebook | |||||
| Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge | ||||||||||
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