News and reflections from the world of AI

    DECIDER project launches to improve diagnostics and treatment of ovarian cancer

    The European Union has funded a project to improve personalized treatments for ovarian cancer with nearly 15 million euros for five years. The ...
    Written by Aiforia

    Aiforia feature: Multi-channel Images and Analysis

    Unlimited channels, limitless data  Aiforia’s multi-channel viewing and analysis capabilities can be applied to any image allowing for hundreds of ...
    Written by Aiforia

    End of year message from Jukka Tapaninen, CEO at Aiforia Technologies

    2020 was an exceptional and challenging year. Like many others we at Aiforia had to adapt to the new circumstances posed by the ongoing COVID-19 ...
    Written by Aiforia
    October 21, 2020

    Aiforia Announces Formation of Scientific Advisory Board

    Aiforia, a leading provider of deep learning artificial intelligence (AI) solutions for image analysis across a variety of medical domains, announces its newly formed Scientific Advisory Board. The four advisors represent world-class expertise in clinical diagnostics, personalized medicine, digital and computational pathology.
    Written by Aiforia
    October 15, 2020

    Aiforia secures U.S. patent for high-speed AI training tool in medical image analysis

    Aiforia, a leading provider of deep learning artificial intelligence (AI) solutions for image analysis across a variety of medical domains, has been granted U.S. Patent No. 10,803,586 by the United States Patent and Trademark Office (USPTO). The patent covers the techniques deployed by Aiforia's active learning tool, Annotation Assistant, for the accelerated development of AI models for image ...
    Written by Aiforia
    September 24, 2020

    Aiforia Create feature: Instance Segmentation

    The challenge: boundaries of AI-assisted analysis  AI-powered image analysis systems enable you to perform both multiclass semantic segmentation and object detection. These techniques allow pathologists to detect areas of different classes of region and counts of different objects. However, calculating the individual areas of segmentations and the individual areas of detected objects proves ...
    Written by Aiforia
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