DEEP LEARNING FOR MEDICAL IMAGE ANALYSIS

Deep Learning for Medical Image Analysis

AI’s Ability to Analyze Images Presents Huge Opportunity for Improved Outcomes

About 90% of our health data is in the form of images: X-rays, MRIs, CT scans, PET scans, and ultrasounds. Until recently, it required human expertise to infer any meaning from those images – to detect and diagnose potentially life-threatening diseases.

But with recent advances in CPU and GPU processing power – and the accompanying advances in deep learning and AI frameworks – we have the opportunity to transform and improve lives through earlier, more accurate detection. It has the potential to add years to a patient’s life expectancy.

Download the ebook to learn about:

Data Imaging Analysis challenges and the responses to each

Breakdown of deep learning networks by goal and architecture type

The must-haves for a deep learning platform


Whether you’re just starting with your AI project, or are well on your way to creating a breakthrough deep learning workflow for medical imaging, Cray has an AI solution that can meet your current and future requirements.

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