Machine Learning for Medical Imaging

Wediagnostix aims to enhance healthcare by providing advanced diagnostic tools to physicians and healthcare professionals.

Their solution utilizes deep learning within a cloud computing platform.

Wediagnostix expresses a strong demand focused on European law, which promotes national hosts for the storage of medical data.

Client Case

Deep Learning: A Major Turning Point for Dental Imaging

WeDiagnostix combines deep learning and dental imaging with expertise in radiograph interpretation, harnessing the potential of graphic processors. With our expertise in creating images for automated learning with Python, we optimize production chains for specific distributions, avoiding generic builds such as Ubuntu. This approach gives us complete control and increased security, allowing us to quickly implement fixes.

We use a Cloud infrastructure that complies with health data standards, structured around a Virtual Private Cloud (VPC). This ensures cost control, flexibility, and optimal security, while guaranteeing the integrity and confidentiality of data, which is essential in healthcare.

The Infrastructure-as-Code approach accelerates deployment and ensures reproducibility of environments by minimizing configuration errors. Finally, the implementation of CI/CD via GitHub improves and streamlines code delivery, ensuring seamless updates and improving service quality.

Using GPUs for healthcare image processing

Private cloud IaaS architecture

Infrastructure-as-Code deployment

CI/CD applied to GitHub Action

"It is an immense pleasure to see the culmination of this project, a perfect illustration of our passion for quality and safety! By collaborating with a French cloud focused on security and using GPU for medical image analysis, we have developed an optimized and secure platform."

Nothing beats real-life examples!

We offer you to download different customer cases highlighting various aspects of our services.

For example, you will find the evolution from expressed needs to their realization, the expertise in selected technologies, and the applied methods.

Some automations will be accessible, others will be anonymized for confidentiality reasons. If you require a more in-depth demonstration, do not hesitate to contact us.