project-monai__monai.a09c1f08
Science Score: 54.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Scientific vocabulary similarity
Low similarity (18.5%) to scientific vocabulary
Last synced: 6 months ago
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Repository
Basic Info
- Host: GitHub
- Owner: swesmith
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 15.9 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Created 12 months ago
· Last pushed 11 months ago
Metadata Files
Readme
Changelog
Contributing
License
Code of conduct
Citation
README.md
Medical Open Network for AI
MONAI is a PyTorch-based, open-source framework for deep learning in healthcare imaging, part of the PyTorch Ecosystem. Its ambitions are as follows:
- Developing a community of academic, industrial and clinical researchers collaborating on a common foundation;
- Creating state-of-the-art, end-to-end training workflows for healthcare imaging;
- Providing researchers with the optimized and standardized way to create and evaluate deep learning models.
Features
Please see the technical highlights and What's New of the milestone releases.
- flexible pre-processing for multi-dimensional medical imaging data;
- compositional & portable APIs for ease of integration in existing workflows;
- domain-specific implementations for networks, losses, evaluation metrics and more;
- customizable design for varying user expertise;
- multi-GPU multi-node data parallelism support.
Installation
To install the current release, you can simply run:
bash
pip install monai
Please refer to the installation guide for other installation options.
Getting Started
MedNIST demo and MONAI for PyTorch Users are available on Colab.
Examples and notebook tutorials are located at Project-MONAI/tutorials.
Technical documentation is available at docs.monai.io.
Citation
If you have used MONAI in your research, please cite us! The citation can be exported from: https://arxiv.org/abs/2211.02701.
Model Zoo
The MONAI Model Zoo is a place for researchers and data scientists to share the latest and great models from the community. Utilizing the MONAI Bundle format makes it easy to get started building workflows with MONAI.
Contributing
For guidance on making a contribution to MONAI, see the contributing guidelines.
Community
Join the conversation on Twitter/X @ProjectMONAI or join our Slack channel.
Ask and answer questions over on MONAI's GitHub Discussions tab.
Links
- Website: https://monai.io/
- API documentation (milestone): https://docs.monai.io/
- API documentation (latest dev): https://docs.monai.io/en/latest/
- Code: https://github.com/Project-MONAI/MONAI
- Project tracker: https://github.com/Project-MONAI/MONAI/projects
- Issue tracker: https://github.com/Project-MONAI/MONAI/issues
- Wiki: https://github.com/Project-MONAI/MONAI/wiki
- Test status: https://github.com/Project-MONAI/MONAI/actions
- PyPI package: https://pypi.org/project/monai/
- conda-forge: https://anaconda.org/conda-forge/monai
- Weekly previews: https://pypi.org/project/monai-weekly/
- Docker Hub: https://hub.docker.com/r/projectmonai/monai
Owner
- Name: SWE-smith
- Login: swesmith
- Kind: organization
- Repositories: 1
- Profile: https://github.com/swesmith
Scaling Data for Software Engineering Agents
Citation (CITATION.cff)
# YAML 1.2
# Metadata for citation of this software according to the CFF format (https://citation-file-format.github.io/)
#
---
title: "MONAI: Medical Open Network for AI"
abstract: "AI Toolkit for Healthcare Imaging"
authors:
- name: "MONAI Consortium"
date-released: 2024-10-17
version: "1.4.0"
identifiers:
- description: "This DOI represents all versions of MONAI, and will always resolve to the latest one."
type: doi
value: "10.5281/zenodo.4323058"
license: "Apache-2.0"
repository-code: "https://github.com/Project-MONAI/MONAI"
url: "https://monai.io"
cff-version: "1.2.0"
message: "If you use this software, please cite it using these metadata."
preferred-citation:
type: article
authors:
- given-names: "M. Jorge"
family-names: "Cardoso"
- given-names: "Wenqi"
family-names: "Li"
- given-names: "Richard"
family-names: "Brown"
- given-names: "Nic"
family-names: "Ma"
- given-names: "Eric"
family-names: "Kerfoot"
- given-names: "Yiheng"
family-names: "Wang"
- given-names: "Benjamin"
family-names: "Murray"
- given-names: "Andriy"
family-names: "Myronenko"
- given-names: "Can"
family-names: "Zhao"
- given-names: "Dong"
family-names: "Yang"
- given-names: "Vishwesh"
family-names: "Nath"
- given-names: "Yufan"
family-names: "He"
- given-names: "Ziyue"
family-names: "Xu"
- given-names: "Ali"
family-names: "Hatamizadeh"
- given-names: "Wentao"
family-names: "Zhu"
- given-names: "Yun"
family-names: "Liu"
- given-names: "Mingxin"
family-names: "Zheng"
- given-names: "Yucheng"
family-names: "Tang"
- given-names: "Isaac"
family-names: "Yang"
- given-names: "Michael"
family-names: "Zephyr"
- given-names: "Behrooz"
family-names: "Hashemian"
- given-names: "Sachidanand"
family-names: "Alle"
- given-names: "Mohammad"
family-names: "Zalbagi Darestani"
- given-names: "Charlie"
family-names: "Budd"
- given-names: "Marc"
family-names: "Modat"
- given-names: "Tom"
family-names: "Vercauteren"
- given-names: "Guotai"
family-names: "Wang"
- given-names: "Yiwen"
family-names: "Li"
- given-names: "Yipeng"
family-names: "Hu"
- given-names: "Yunguan"
family-names: "Fu"
- given-names: "Benjamin"
family-names: "Gorman"
- given-names: "Hans"
family-names: "Johnson"
- given-names: "Brad"
family-names: "Genereaux"
- given-names: "Barbaros S."
family-names: "Erdal"
- given-names: "Vikash"
family-names: "Gupta"
- given-names: "Andres"
family-names: "Diaz-Pinto"
- given-names: "Andre"
family-names: "Dourson"
- given-names: "Lena"
family-names: "Maier-Hein"
- given-names: "Paul F."
family-names: "Jaeger"
- given-names: "Michael"
family-names: "Baumgartner"
- given-names: "Jayashree"
family-names: "Kalpathy-Cramer"
- given-names: "Mona"
family-names: "Flores"
- given-names: "Justin"
family-names: "Kirby"
- given-names: "Lee A.D."
family-names: "Cooper"
- given-names: "Holger R."
family-names: "Roth"
- given-names: "Daguang"
family-names: "Xu"
- given-names: "David"
family-names: "Bericat"
- given-names: "Ralf"
family-names: "Floca"
- given-names: "S. Kevin"
family-names: "Zhou"
- given-names: "Haris"
family-names: "Shuaib"
- given-names: "Keyvan"
family-names: "Farahani"
- given-names: "Klaus H."
family-names: "Maier-Hein"
- given-names: "Stephen"
family-names: "Aylward"
- given-names: "Prerna"
family-names: "Dogra"
- given-names: "Sebastien"
family-names: "Ourselin"
- given-names: "Andrew"
family-names: "Feng"
doi: "https://doi.org/10.48550/arXiv.2211.02701"
month: 11
year: 2022
title: "MONAI: An open-source framework for deep learning in healthcare"
...
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Dependencies
Dockerfile
docker
- ${PYTORCH_IMAGE} latest build
docs/requirements.txt
pypi
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pyproject.toml
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requirements-dev.txt
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requirements.txt
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setup.py
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