A framework for data augmentation for 2D and 3D image classification and segmentation
☆1,175Oct 15, 2026Updated 2 weeks ago
Alternatives and similar repositories for batchgenerators
Users that are interested in batchgenerators are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆8,994Oct 22, 2026Updated last week
- SOTA medical image segmentation methods based on various challenges☆1,680Dec 12, 2023Updated 2 years ago
- The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net…☆1,361Jun 17, 2024Updated 2 years ago
- A tool to do quick and dirty inspection of multichannel 3D data. I use it mainly to visualize batches for deep learning.☆53Feb 8, 2025Updated last year
- [MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns t…☆796Aug 25, 2026Updated 2 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet projec…☆2,276Oct 13, 2026Updated 2 weeks ago
- A collection of loss functions for medical image segmentation☆4,005Nov 1, 2023Updated 2 years ago
- A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation☆1,920Jul 25, 2024Updated 2 years ago
- Medical imaging processing for AI applications.☆2,451Updated this week
- nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without ma…☆664Oct 8, 2026Updated 3 weeks ago
- Library to compute surface distance based performance metrics for segmentation tasks.☆603Feb 19, 2025Updated last year
- Medical image processing in Python☆624Sep 3, 2024Updated 2 years ago
- MICCAI 2019-2026 Open Source Papers☆1,295Sep 23, 2026Updated last month
- AI Toolkit for Healthcare Imaging☆8,812Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation☆2,064Nov 13, 2020Updated 5 years ago
- The official repository of the 2019 Kidney and Kidney Tumor Segmentation Challenge☆464May 13, 2026Updated 5 months ago
- MICCAI2019:3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation☆237Oct 18, 2023Updated 3 years ago
- Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation☆2,239Nov 6, 2025Updated 11 months ago
- Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in Me…☆736Mar 19, 2024Updated 2 years ago
- Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans☆1,068Aug 4, 2024Updated 2 years ago
- 3D U-Net model for volumetric semantic segmentation written in pytorch☆2,428Updated this week
- Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"☆405Jul 14, 2020Updated 6 years ago
- ☆94Jun 17, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The official repository of the 2021 Kidney and Kidney Tumor Segmentation Challenge☆179May 13, 2026Updated 5 months ago
- Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.☆2,702Jun 7, 2025Updated last year
- Awesome GAN for Medical Imaging☆2,362May 29, 2022Updated 4 years ago
- Unsupervised Learning for Image Registration☆2,754Sep 11, 2026Updated last month
- code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.☆542Nov 13, 2020Updated 5 years ago
- MONAI Tutorials☆2,578Updated this week
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆567Mar 24, 2023Updated 3 years ago
- Paper and implementation of UNet-related model.☆2,592May 21, 2020Updated 6 years ago
- AnatomyNet: Deep 3D Squeeze-and-excitation U-Nets for fast and fully automated whole-volume anatomical segmentation☆149Aug 24, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Implementations of recent research prototypes/demonstrations using MONAI.☆1,225Oct 6, 2025Updated last year
- An example project of how to use a U-Net for segmentation on medical images with PyTorch.☆153Jul 25, 2024Updated 2 years ago
- Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyT …☆227Jan 13, 2021Updated 5 years ago
- How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study☆406Apr 30, 2021Updated 5 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- Jupyter notebooks for learning how to use SimpleITK☆913Oct 11, 2026Updated 2 weeks ago
- Multi-Planar UNet for autonomous segmentation of 3D medical images☆197Sep 2, 2023Updated 3 years ago