AI utilised to improve retinal imaging results
Scans of retinal pigment epithelium (RPE) are of particular interest to scientists as many diseases of the retina occur when the RPE breaks down (Image: Innovatrics)
By integrating artificial intelligence with optical coherence tomography, the team have been able to move past major obstacles, especially for diseases that affect the retinal pigment epithelium, which have been traditionally difficult to image.
Register for FREE to unlock this article
Join Imaging and Machine Vision Europe and gain exclusive access to cutting-edge content and industry-leading resources. Register for FREE access to:
- In-depth articles & expert analysis: Stay ahead with comprehensive coverage of the latest trends, technologies, and innovations in imaging and machine vision.
- Breaking news & updates: Keep informed with timely news on market movements, product launches, and technological advancements.
- Case studies & success stories: Learn from real-world applications and success stories showcasing best practices and innovative solutions.
- Exclusive webinars & round tables: Be among the first to learn about and join upcoming webinars and round table discussions with industry experts.
- Detailed reports & whitepapers: Access exclusive reports and whitepapers that provide actionable insights and strategic guidance.
- Professional networking: Connect with a European community of professionals, exchange ideas, and collaborate on groundbreaking projects.
Don’t miss out on full articles and exclusive content that can propel your career and projects forward. Register now to unlock premium content from Imaging and Machine Vision Europe.
Sign up now - it’s fast, easy and FREE!
Already registered? Log in here
You can see our full privacy policy here.
