Deep Learning for Medical Imaging: Use Cases and Network Types

Conclusion Medical image analysis solutions powered by deep learning technologies can reduce the risk of diagnostic errors and ensure timely interventions. But how to implement such a tool successfully? The key to successful deployment is cooperation with an experienced machine-learning solutions provider. Professional technical experts will help you choose an optimal architecture for your clinic’s specific goals and ensure effective model training. About Mariia Kovalova Mariia Kovalova is a Healthcare Technology Researcher at Itransition, a custom software development company headquartered in Denver, CO. Having working experience with both the healthcare and IT industry, she is constantly on the lookout for technologies that will help providers optimize their processes, enhance patient experiences and build up more resilience in the face of the rapidly-changing world.
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: AI/Machine Learning Health IT Company Healthcare IT CNN Convolutional Neural Networks Deep Learning GAN Generative Adversarial Networks Healthcare AI Healthcare Neural Networks Itransition MADGAN Mariia Kovalova Medical Imaging Source Type: blogs