MONAI
What is MONAI?
MONAI is a community-supported, PyTorch-based framework for deep learning in healthcare imaging. It aims to accelerate innovation and clinical translation by offering robust software tools for medical imaging research and deployment.
How to use MONAI?
To use MONAI, start by exploring the MONAI Label, Core, and Deploy functionalities. Learn how to train AI models, create AI applications, and deploy them in clinical settings.
MONAI's Core Features
Open-source collaborative frameworks for medical imaging research
Specific capabilities for healthcare image processing
AI assistance for intelligent image annotation and learning
Deployment and packaging of medical AI applications
Focus on reproducibility, ease of integration, and high quality
MONAI's Use Cases
Accelerating research and clinical collaboration in Medical Imaging
Training AI models for healthcare imaging tasks
Deploying AI applications in clinical production settings
FAQ from MONAI
Is MONAI suitable for medical imaging research?
Can MONAI assist in deploying AI applications in clinical production?
MONAI Company
More about MONAI, Please visit the about us page(https://monai.io/about.html).
MONAI Youtube
MONAI Youtube Link: https://www.youtube.com/c/Project-MONAI
MONAI Twitter
MONAI Twitter Link: https://twitter.com/ProjectMONAI
MONAI Github
MONAI Github Link: https://github.com/Project-MONAI
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Create Infinite Medical Imaging Data with Generative AI
Learn More: https://monai.io/ #MONAI #medicalimaging #medicalAI Generative AI for medical imaging can create infinite synthetic images of the human anatomy. These large, synthetic datasets are used for training generalizable AI models that can learn from evolving patient data while preserving patient privacy. Learn how MONAI, a framework for building and deploying medical AI, and partners like King’s College London, Mount Sinai, and East River Imaging are using generative AI to study disease and make AI decisions and predictions more accurate, trusted, and safe.
Python AI Organ Segmentation Tutorial
CHECK OUT MY NEW UDEMY COURSE, NOW 90% OFF WITH THIS CODE: https://www.udemy.com/course/python-stem-essentials/?couponCode=MRPSOLVER_CTSEG Code: https://github.com/lukepolson/youtube_channel/blob/main/Python%20Metaphysics%20Series/vid40.ipynb Relevant Libraries/Software: MONAI: https://monai.io/ LIFEX: https://www.lifexsoft.org/ TCIA: https://www.cancerimagingarchive.net/ Get Your Billy T-Shirt: https://my-store-d2b84c.creator-spring.com/ Discord: https://discord.gg/Ap2sf3sKqg Instagram: https://www.instagram.com/mrpsolver/
MONAI Core Basics
Presenter: Ben Murray Introduction to the Basics of MONAI Core. Understand how to use MONAI Transforms, Datasets, Caching, Networks, and more. https://github.com/Project-MONAI/monai-bootcamp https://monai.io/ https://github.com/Project-MONAI
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