AI Imaging Diagnostics
A system assisting radiologists in detecting early diseased lesions on CT and MRI images with over 98% accuracy.
Technologies
TensorFlow Development & Integration
We use TensorFlow for computer vision, NLP, and recommendation systems. In addition to model training, we prepare data pipelines, testing, inference optimization, production deployment, and quality monitoring.
Scope
- Deep neural networks
- Machine Learning pipelines
- Training on GPU
- Production deployments with TF Serving
Technology and tools
- Keras
- Tensorboard
- TF Lite
- TF Extended
Projects using this technology
FAQ
Can you take over an existing project?
Yes. Before takeover, we review the code, dependencies, environments, tests, and release process. We then define a plan for stabilization, documentation, and continued development.
Do you refactor and upgrade older applications?
Yes. We divide modernization into safe stages. We first reduce the risks and issues that block development, with tests and controlled releases protecting each change.
Do you provide support after deployment?
Yes. We can cover maintenance, monitoring, bug fixes, security upgrades, performance optimization, and the development of new features.
How do you select the team and technology?
We consider the existing stack, architecture, product scale, security requirements, and the client's internal capabilities. We do not recommend a migration without a clear business or technical benefit.
Last updated: 2026-09-11