Giter Site home page Giter Site logo

project-monai / monai-deploy Goto Github PK

View Code? Open in Web Editor NEW
96.0 25.0 21.0 226.47 MB

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

License: Apache License 2.0

C# 15.67% Dockerfile 1.09% JavaScript 14.10% Shell 36.01% Python 28.25% Batchfile 0.68% Smarty 4.20%
monai ai medical-imaging inference healthcare guidelines open-standard ai-application-development ai-application-deployment deep-learning

monai-deploy's Introduction

project-monai

MONAI Deploy Working Group

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

If you want to know more about its purpose and vision, please review the MONAI Deploy WG wiki.

Focus

MONAI Deploy builds on the foundation set by MONAI.

Where MONAI is focused on training and creating models, MONAI Deploy is focused on defining the journey from research innovation to clinical production environments in hospitals. Our guiding principles are:

  • Implementation mindset. Create tangible assets: tools, applications and demos/prototypes.
  • Radiology first, then other modalities like Pathology.
  • Interoperability with clinical systems. Starting with DICOM, then FHIR.
  • Central repository to facilitate collaboration among institutions.

Status

MONAI Deploy was released at MICCAI 2021 and was part of the MONAI 2021 Bootcamp. Since then we have released several versions of some of the sub-systems, while others are being actively developed. Please check out the next section.

Key assets

Community

To participate, please join the MONAI Deploy WG weekly meetings on the calendar. All the recordings and meeting notes since day zero can be found at MONAI Deploy WG master doc

Join our Slack channel or join the conversation on Twitter @ProjectMONAI.

Ask and answer questions over on MONAI Deploy's GitHub Discussions tab or MONAI's GitHub Discussions tab.

Links

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.