MIC-DKFZ / batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
☆1,118Updated 3 months ago
Alternatives and similar repositories for batchgenerators:
Users that are interested in batchgenerators are comparing it to the libraries listed below
- SOTA medical image segmentation methods based on various challenges☆1,572Updated last year
- [MICCAI 2019 Young Scientist Award] [MEDIA 2020 Best Paper Award] Models Genesis☆750Updated last month
- ☆531Updated 2 years ago
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆566Updated 7 months ago
- A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation☆707Updated 6 years ago
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,780Updated 6 months ago
- MICCAI 2019-2023 Open Source Papers☆1,259Updated last year
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,318Updated 8 months ago
- Library to compute surface distance based performance metrics for segmentation tasks.☆544Updated this week
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆447Updated last year
- liver segmentation using deep learning☆412Updated last year
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆673Updated 11 months ago
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,059Updated last month
- TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes☆539Updated 2 years ago
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆495Updated 4 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆388Updated 3 years ago
- Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI☆373Updated last year
- 3D U-Net model for volumetric semantic segmentation written in pytorch☆2,115Updated last week
- U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI☆734Updated last year
- 3DUNet implemented with pytorch☆516Updated 3 years ago
- tracking medical datasets, with a focus on medical imaging☆825Updated last year
- Automated lung segmentation in CT☆680Updated 10 months ago
- Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation☆1,980Updated last week
- This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.☆877Updated 11 months ago
- A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation☆369Updated 6 years ago
- Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans☆1,039Updated 6 months ago
- This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017☆218Updated 6 years ago
- Jupyter notebooks for learning how to use SimpleITK☆852Updated 2 weeks ago
- Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/a…☆370Updated 3 years ago
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆394Updated 4 years ago