MONAI은 의료 이미징 분야의 딥 러닝을 위한 PyTorch 기반 프레임워크로, 의료 이미징 연구 및 배포를 위한 강력한 소프트웨어 도구를 제공하여 혁신과 임상 전환을 가속화하고 있습니다.
MONAI을 사용하려면 MONAI Label, Core 및 Deploy 기능을 탐색하여 시작하십시오. AI 모델을 훈련하고 AI 응용 프로그램을 만들어 임상 환경에 배포하는 방법을 배우세요.
MONAI에 대해 자세히 알아보려면 회사 소개 페이지(https://monai.io/about.html)를 방문하세요. .
MONAI Youtube 링크: https://www.youtube.com/c/Project-MONAI
MONAI Twitter 링크: https://twitter.com/ProjectMONAI
MONAI Github 링크: https://github.com/Project-MONAI
소셜 리스닝
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
총 24개의 소셜 미디어 데이터를 보려면 잠금을 해제해야 합니다