google-deepmind / multidim-image-augmentation
This package provides TensorFlow Ops for multidimensional volumetric image augmentation.
☆135Updated 3 months ago
Alternatives and similar repositories for multidim-image-augmentation
Users that are interested in multidim-image-augmentation are comparing it to the libraries listed below
Sorting:
- Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow☆220Updated 4 years ago
- A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biome…☆164Updated last year
- A regular Tiramisu network for PyTorch with a LOT of extra features!☆42Updated 4 years ago
- 3D Unet Equipped with Advanced Deep Learning Methods☆61Updated 5 years ago
- Fully-connected (dense) 3D CRF for processing biomedical scans☆137Updated 6 years ago
- To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…☆100Updated last year
- Data Science Bowl 2018☆65Updated 6 years ago
- ☆102Updated 6 years ago
- Numerical Computation of Receptive Field in Pytorch☆62Updated 5 years ago
- Keras w/ Tensorflow backend implementation for 3D channel-wise convolutions☆68Updated 5 years ago
- DLTK Model Zoo☆114Updated 6 years ago
- Datasets, Transforms and Utilities specific to Biomedical Imaging☆109Updated 6 years ago
- Kaggle Data Science Bowl 2018☆119Updated 7 years ago
- My 5th place (out of 816 teams) solution to The 2018 Data Science Bowl organized by Booz Allen Hamilton☆158Updated 6 years ago
- MIDL 2018 / MEDIA 2019: one binary extremely large and inflecting sparse kernel (pytorch)☆44Updated 5 years ago
- Keras implementation of CoordConv for all Convolution layers☆148Updated 2 years ago
- 3D volume data augmentation package inspired by albumentations☆79Updated 5 years ago
- Dataset of head and neck CT scans and segmentations in NRRD format.☆92Updated 4 years ago
- Dense Steerable Filter CNN☆75Updated 2 years ago
- This Python package enables the training and inference of deep learning models for very large data, such as megapixel images, using atten…☆97Updated 5 years ago
- ☆56Updated 5 years ago
- Deep Watershed Transform for Instance Segmentation☆201Updated 6 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆551Updated 2 years ago
- ☆95Updated 5 years ago
- Deep Extreme Cut☆141Updated 5 years ago
- Autofocus Layer for Semantic Segmentation☆180Updated 6 years ago
- ☆57Updated 7 years ago
- A visualization library for PyTorch tensors☆19Updated 2 years ago
- Demos for Cell Proposal Networks presented in ICIP 16 and DLMIA 16 (MICCAI-W)☆17Updated 8 years ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆110Updated 5 years ago