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Introduction:
PyTorch-based healthcare imaging framework
Added on:
Jul 21 2024
Monthly Visitors:
76.6K
Social & Email:
Website
Other
MONAI Product Information

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

#1

Accelerating research and clinical collaboration in Medical Imaging

#2

Training AI models for healthcare imaging tasks

#3

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?

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Analytic of MONAI

MONAI Website Traffic Analysis

Visit Over Time

Monthly Visits
76.6K
Avg.Visit Duration
00:01:10
Page per Visit
1.72
Bounce Rate
45.79%
Apr 2024 - Dec 2024 All Traffic

Geography

Top 5 Regions

United States
21.21%
Vietnam
5.62%
Tunisia
5.40%
India
5.02%
Germany
4.89%
Apr 2024 - Dec 2024 Desktop Only

Traffic Sources

Search
53.55%
Direct
35.33%
Referrals
8.04%
Social
2.36%
Display Ads
0.59%
Mail
0.12%
Apr 2024 - Dec 2024 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
monai
21.7K
$ 0.93
monai networks
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monai.network.nets
--
monai framework
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