Dag V Net
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Medicaldetectiontoolkit | 1,249 | 5 months ago | 44 | apache-2.0 | Python | |||||
| The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images. | ||||||||||
| Batchgenerators | 1,013 |  | 6 | 22 | 5 months ago | 16 | March 16, 2023 | 40 | apache-2.0 | Jupyter Notebook |
| A framework for data augmentation for 2D and 3D image classification and segmentation | ||||||||||
| Pytorch Medical Segmentation | 536 | 2 years ago | 3 | mit | Python | |||||
| This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D. | ||||||||||
| Pymic | 320 | 5 months ago | 11 | December 06, 2022 | 5 | apache-2.0 | Python | |||
| Learning To Segment 3d Point Clouds In 2d Image Space | 188 | 10 months ago | 10 | mit | Python | |||||
| 3dmv | 182 | 2 years ago | 4 | other | Python | |||||
| [ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation | ||||||||||
| Elektronn3 | 161 |  | 1 | 7 months ago | 2 | June 22, 2023 | 5 | mit | Python | |
| A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data | ||||||||||
| 3d Mininet | 156 | 2 years ago | 10 | Python | ||||||
| Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation | ||||||||||
| Squeeze_and_excitation | 140 | 4 years ago | 3 | mit | Python | |||||
| PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks | ||||||||||
| Acsconv | 138 |  | 1 | a year ago | 2 | January 27, 2022 | apache-2.0 | Python | ||
| [IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D! | ||||||||||
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