CuraMate

Overview

CuraMate Software Demo

CuraMate (formerly known as SATORI) is a cutting-edge data curation toolkit designed for efficient annotation, segmentation, and image feature quantification.

It provides highly customizable annotation forms, intuitive interactive contouring tools, and fully automated segmentation algorithms, allowing for a versatile approach to various annotation tasks. Once a reader study is set up and configured, CuraMate guides collaborating users with different roles through their work efficiently, while also ensuring that preventable errors are avoided.

CuraMate integrates seamlessly with components for training and inference of Deep Learning models. A standout feature is the integrated training loop, enabling users to enhance neural networks continuously by iteratively adding new training data and correcting errors in previous algorithmic outputs.

 

Learn more about key use cases of CuraMate:

CuraMate Reader Studies provides a structured environment for conducting reader studies, efficiently gathering precise and quantitative measurements across large datasets.

CuraMate Education allows offering online courses that include interactive case assessments for engaging, hands-on training experiences.

CuraMate AI Development streamlines the development of AI models with fast, consistent, and reliable annotation workflows and an integrated training loop.

 

CuraMate Reader Studies

Discover the cutting-edge platform for structured medical image annotation and reader studies. 

 

CuraMate Education

Explore an interactive  training platform for annotating and analyzing multimodal medical images.

 

CuraMate AI Development

Facilitate AI model training by seamlessly integrated, highly customizable data curation.

Outlook

CuraMate is continuously evolving with new features developed as extensions, making them available for various projects and customers. 

The current focus is to develop a visual study configurator that allows users without programming experience to easily set up a new CuraMate instance for their studies.

References

The CuraMate Team

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Dr. Peter Kohlmann

Key Scientist eHealth Solutions

Fraunhofer Institute for Digital Medicine MEVIS

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Dr. Bianca Lassen-Schmidt

Principal Researcher Pulmonary Image Analysis, AI

Fraunhofer Institute for Digital Medicine MEVIS

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Dr. Hans Meine

Head of Image Analysis and Deep Learning

Fraunhofer Institute for Digital Medicine MEVIS