Deep learning Expertise and services

RTC Deep Learning can provide expert guidance and services for big data analysis and deep learning, specifically in the field of image analysis but also on predictive analytics in general.

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Deep learning Expertise and services

The RTC Deep Learning leverages the expertise of the Diagnostic Image Analysis Group (DIAG) in using machine learning, specifically deep learning, to analyze images and other medical data. RTC Deep Learning has set up a high-performance GPU cluster on which deep learning systems can be trained and deployed. We can be approached for consultation regarding all questions pertaining to the use of deep learning for specific problems. Additionally, we can make project-specific commercial-grade web-based image analysis and data analytics software (CIRRUS/MeVisLab). These web solutions are already widely used in research projects of DIAG and various departments at Radboudumc. They are also used in commercially available products, for example for CT lung screening.
 
Areas of expertise:
  • Medical image analysis
  • Development of deep learning algorithms
  • Docker and (cloud-based) GPU solutions
  • Web-based image analysis and viewing applications 
Services: 
  • Consultation regarding the use of deep learning for specific research questions
  • Assistance with data preparation and annotation
  • Development and training of deep learning algorithms for detection, classification and segmentation problems
  • Development of web-based applications for data processing and viewing
  • GPU computing solutions

How can we help enhance your research? Contact us

Ajay Patel MSc
Technology center representative

+31 (0)24 36 15 57 93
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DIAG Diagnostic Image Analysis Group

The Diagnostic Image Analysis Group is part of the Departments of Radiology and Nuclear Medicine, Pathology, and Ophthalmology of Radboud University Medical Center. We develop computer algorithms to aid clinicians in the interpretation of medical images and thereby improve the diagnostic process.

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DIAG Diagnostic Image Analysis Group

The Diagnostic Image Analysis Group is part of the Departments of Radiology and Nuclear Medicine, Pathology, and Ophthalmology of Radboud University Medical Center. We develop computer algorithms to aid clinicians in the interpretation of medical images and thereby improve the diagnostic process.

Go to the DIAG homepage.
Go to the DIAG publications.


Computational Pathology

The Computational Pathology Group of the Department of Pathology of Radboudumc works in close collaboration with DIAG. The history of the group reaches back to the early 1980s, while the current group has been active since 2013. We have a strong translational focus, owing to our strong embedding in a clinical environment. We have a leading position in our research field, witnessed for instance by the highly successful CAMELYON16 and CAMELYON17 grand challenges which we organized and by our active role in committees and conference organisation (e.g. the Computational Pathology Symposium, held in conjunction with the European Congress of Pathology).

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