ELEKTRONN / elektronn3
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
☆160Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for elektronn3
- Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).☆185Updated last week
- Multi-Planar UNet for autonomous segmentation of 3D medical images☆189Updated last year
- Library for 3D augmentations☆232Updated last month
- pytorch dataset class for reading and transforming NIfTI files☆62Updated 3 years ago
- An example project of how to use a U-Net for segmentation on medical images with PyTorch.☆140Updated 3 months ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆381Updated 3 years ago
- matlab and python wrap of crf and dense crf, both 2d and 3d are supported☆166Updated 2 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆123Updated 2 years ago
- This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MI…☆51Updated last year
- "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.☆150Updated 5 months ago
- A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.☆51Updated last year
- The implementation of 3D-UNet using PyTorch☆100Updated 4 years ago
- 3D volume data augmentation package inspired by albumentations☆79Updated 4 years ago
- A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch☆272Updated 5 years ago
- normalize the intensities of various MR image modalities☆311Updated last year
- This package provides TensorFlow Ops for multidimensional volumetric image augmentation.☆130Updated 7 months ago
- ☆166Updated 3 years ago
- ☆188Updated 2 years ago
- 2D and 3D UNet implementation in PyTorch.☆147Updated 3 months ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆546Updated last year
- Library to compute surface distance based performance metrics for segmentation tasks.☆537Updated last year
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆69Updated 2 years ago
- [IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!☆169Updated 6 months ago
- Dataset of head and neck CT scans and segmentations in NRRD format.☆88Updated 4 years ago
- This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" publish…☆213Updated 4 years ago
- ☆186Updated 4 years ago
- This repository implements pytorch version of the modifed 3D U-Net from Fabian Isensee et al. participating in BraTS2017☆218Updated 6 years ago
- PyTorch Connectomics: segmentation toolbox for EM connectomics☆171Updated this week
- Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images☆136Updated 3 years ago
- Uncertainty in Medical Image Analysis☆316Updated 3 years ago