Developed an AI capable of detecting abnormalities in 100,000 retinal images without any misjudgments! Includes verification and performance details.
This document introduces the development of "AI for retinal images." It includes information on the "performance of the developed 'AI for retinal images'," "the journey to the completion of this medical AI and future prospects," and "promotion of the developed medical AI." It is capable of determining whether "unlearned diseases" are normal or abnormal, even when the training data and test data are completely independent. 【Contents】 ■ Introduction ■ Performance of the developed "AI for retinal images" - Verification 1: Can it detect unlearned diseases? - Verification 2: Can it diagnose even when the training and test data are completely independent? - Summary of the AI's performance *For more details, please refer to the PDF document or feel free to contact us.
Inquire About This Product
basic information
【Other Published Content】 ■ The Path to "Completion of This Medical AI" and Future Prospects ・ The Path to "Completion of This Medical AI" ・ Promotion of the "Developed Medical AI" *For more details, please refer to the PDF document or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please refer to the PDF document or feel free to contact us.
catalog（1）
Download All Catalogs![[Information] Development of AI for Retinal Imaging](https://image.mono.ipros.com/public/catalog/image/01/068/623994/IPROS13570427577033836097.jpeg?w=120&h=170)
Company information
In the manufacturing industry, the use of three-dimensional data such as 3D CAD data is becoming widespread, but in AI, the use of two-dimensional data is mainstream, and the use of three-dimensional data is still not in sight. Our company is considering how to make better use of 3D CAD data in the manufacturing industry and contribute to improving QCD, and we are conducting research and development on three-dimensional shape recognition technology using AI and deep learning. Based on the latest AI research results, our company has successfully developed a three-dimensional AI model that can recognize three-dimensional shape data. With this groundbreaking three-dimensional AI technology, we will spread three-dimensional AI throughout the engineering chain centered on CAD, CAM, and CAE, contributing to the improvement of QCD. Moreover, three-dimensional AI is a new technology, and its potential is limitless. We will promote research and development of three-dimensional AI and spread this pioneering three-dimensional AI technology not only in the manufacturing industry but also in many other industries, contributing to the improvement of QCD.
![[Column] Reasons Why We Can't Hire Excellent Engineers Mid-Career](https://image.mono.ipros.com/public/product/image/09f/2000800086/IPROS81407417797481098249.jpeg?w=280&h=280)
