MIC-DKFZ / batchgeneratorsLinks
A framework for data augmentation for 2D and 3D image classification and segmentation
☆1,164Updated 7 months ago
Alternatives and similar repositories for batchgenerators
Users that are interested in batchgenerators are comparing it to the libraries listed below
Sorting:
- SOTA medical image segmentation methods based on various challenges☆1,635Updated last year
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆769Updated 4 months ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆460Updated 2 years ago
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆745Updated 7 years ago
- MICCAI 2019-2023 Open Source Papers☆1,292Updated 2 years ago
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,886Updated last year
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,341Updated last year
- ☆533Updated 3 years ago
- Library to compute surface distance based performance metrics for segmentation tasks.☆582Updated 8 months ago
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆614Updated 3 weeks ago
- Automated lung segmentation in CT☆741Updated 4 months ago
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆569Updated 2 years ago
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆704Updated last year
- U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI☆767Updated 2 years ago
- liver segmentation using deep learning☆428Updated 2 years ago
- tracking medical datasets, with a focus on medical imaging☆877Updated 7 months ago
- This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.☆926Updated last year
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆523Updated 5 years ago
- Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021☆846Updated 2 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆395Updated 4 years ago
- Jupyter notebooks for learning how to use SimpleITK☆886Updated this week
- 3DUNet implemented with pytorch☆555Updated 4 years ago
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,020Updated 5 years ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆391Updated 2 years ago
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,165Updated last month
- Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet projec…☆2,124Updated 2 years ago
- A collection of papers about Transformer in the field of medical image analysis.☆470Updated 2 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆402Updated 5 years ago
- This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017☆222Updated 7 years ago
- A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation☆376Updated 7 years ago