| MIC-DKFZ/medicaldetectiontoolkit |
1,249 |
|
0 |
0 |
about 2 years ago |
0 |
|
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. |
| MIC-DKFZ/batchgenerators |
1,013 |
|
6 |
22 |
about 2 years ago |
16 |
March 16, 2023 |
40 |
apache-2.0 |
Jupyter Notebook |
| A framework for data augmentation for 2D and 3D image classification and segmentation |
| MontaEllis/Pytorch-Medical-Segmentation |
536 |
|
0 |
0 |
almost 4 years ago |
0 |
|
3 |
mit |
Python |
| This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D. |
| HiLab-git/PyMIC |
320 |
|
0 |
0 |
about 2 years ago |
11 |
December 06, 2022 |
5 |
apache-2.0 |
Python |
| Zhang-VISLab/Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space |
188 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
Python |
| angeladai/3DMV |
182 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
other |
Python |
| [ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation |
| ELEKTRONN/elektronn3 |
161 |
|
0 |
1 |
over 2 years 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 |
| Shathe/3D-MiniNet |
156 |
|
0 |
0 |
over 3 years ago |
0 |
|
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 |
| ai-med/squeeze_and_excitation |
140 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
mit |
Python |
| PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks |
| M3DV/ACSConv |
138 |
|
0 |
1 |
over 2 years ago |
2 |
January 27, 2022 |
0 |
apache-2.0 |
Python |
| [IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D! |
