| 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. |
| ShawnBIT/UNet-family |
1,029 |
|
0 |
0 |
almost 6 years ago |
0 |
|
4 |
|
Python |
| Paper and implementation of UNet-related model. |
| black0017/MedicalZooPytorch |
896 |
|
0 |
0 |
about 4 years ago |
0 |
|
13 |
mit |
Python |
| A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation |
| rezazad68/BCDU-Net |
435 |
|
0 |
0 |
about 4 years ago |
0 |
|
5 |
|
Python |
| BCDU-Net : Medical Image Segmentation |
| IntelAI/unet |
249 |
|
0 |
0 |
about 3 years ago |
0 |
|
5 |
apache-2.0 |
Jupyter Notebook |
| U-Net Biomedical Image Segmentation |
| perslev/MultiPlanarUNet |
179 |
|
0 |
0 |
about 3 years ago |
9 |
May 26, 2021 |
3 |
mit |
Python |
| Multi-Planar UNet for autonomous segmentation of 3D medical images |
| DebeshJha/ResUNetPlusPlus |
135 |
|
0 |
0 |
over 2 years ago |
0 |
|
13 |
|
Python |
| Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation) (IEEE ISM) |
| tianbaochou/NasUnet |
132 |
|
0 |
0 |
almost 5 years ago |
0 |
|
10 |
|
Python |
| nikhilroxtomar/UNet-Segmentation-in-Keras-TensorFlow |
129 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging. |
| biomedia-mira/masf |
105 |
|
0 |
0 |
almost 5 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| Domain Generalization via Model-Agnostic Learning of Semantic Features |
