HOPPR Unveils Groundbreaking 2D Mammography AI Model to Boost Breast Imaging Innovation
HOPPR's Launch of the Revolutionary 2D Mammography Foundation Model
In a significant advancement for artificial intelligence in medical imaging, HOPPR has officially released its HOPPR™EB 2D Mammography Foundation Model. This innovative tool is poised to accelerate the development of AI applications focused on breast imaging, particularly vital during Breast Cancer Awareness Month.
Key Features of the HOPPR™EB Model
The HOPPR™EB 2D Mammography Foundation Model is designed for adaptability, allowing developers to fine-tune it for various imaging tasks. The model has shown effective performance in both binary and multi-class classification tasks, such as cancer detection, breast density classification, and device identification. This flexibility makes it a robust foundation for developers aiming to create AI solutions tailored to mammography workflows.
According to Sham Sokka, Chief Operating and Technology Officer at DeepHealth, this release marks a significant milestone in accelerating AI readiness in breast imaging. He noted how HOPPR
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