RadField3D

RadField3D is an open-source application based on Geant4 Monte-Carlo simulation, designed to generate three-dimensional radiation field datasets for dosimetry. This tool is particularly useful in the field of radiation-protection dosimetry for medical applications. RadField3D introduces a fast, machine-interpretable data format with a Python API, facilitating easy integration into neural network research. The primary goal of RadField3D is to explore alternative radiation simulation methods using deep learning. By providing a robust dataset and a flexible data format, RadField3D enables researchers to develop and test new deep learning models for radiation dosimetry, potentially leading to more accurate and efficient radiation protection strategies in medical settings.

Category: Artificial Intelligence
Subcategory: Deep Learning
Tags: radiation dosimetrydeep learningMonte-Carlo simulationGeant4
AI Type: Deep Learning
Programming Languages: Python
Frameworks/Libraries: Geant4
Application Areas: Radiation-protection dosimetrymedical applications
Manufacturer Company: Not specified
Country: Not specified
Algorithms Used

Monte-Carlo simulation

Model Architecture

Not specified

Datasets Used

RadField3D dataset

Performance Metrics

Not specified

Deployment Options

Not specified

Cloud Based

No

On Premises

No

Features

Open-source, machine-interpretable data format, Python API

Enterprise

No

Hardware Requirements

Not specified

Supported Platforms

Not specified

Interoperability

Not specified

Security Features

Not specified

Compliance Standards

Not specified

Certifications

Not specified

Open Source

Yes

Source Code URL

http://Not specified

Documentation URL

http://Not specified

Community Support

Not specified

Contributors

Not specified

Training Data Size

Not specified

Inference Latency

Not specified

Energy Efficiency

Not specified

Explainability Features

Not specified

Ethical Considerations

Not specified

Known Limitations

Not specified

Industry Verticals

Medical, Radiation Protection

Use Cases

Radiation dosimetry, medical applications

Customer Base

Not specified

Integration Options

Not specified

Scalability

Not specified

Support Options

Not specified

SLA

Not specified

User Interface

Not specified

Multi-Language Support

No

Localization

Not specified

Pricing Model

Not specified

Trial Availability

No

Partner Ecosystem

Not specified

Patent Information

Not specified

Regulatory Compliance

Not specified

Version

Not specified

Website URL

http://Not specified

Service Type

Not specified

Has API

Yes

API Details

Python API for integration

Business Model

Not specified

Price

0.00

Currency

Not specified

License Type

Not specified

Release Date

01/01/1970

Last Update Date

01/01/1970

Contact Email

Not specified

Contact Phone

Not specified

Social Media Links

http://Not specified

Other Features

Not specified

Published

Yes