Piotr Giedziun & Michał Krasoń

CancerCenter.AI

Piotr Giedziun (CancerCenter.AI Co-founder, R&D) is a passionate software engineer with specialization in deep learning (DL), algorithmics, highly-scalable architectures and advanced mobile technologies. Piotr is an astute proponent of maximizing optimization in software developing processes. His focused specialization is in MRI diagnostics and skin lesion analysis. He is a practitioner of machine learning (ML) algorithms and beautifully clean code design.

Michał Krasoń is a data scientist with background in mathematics. He works in R&D department of CancerCenter.AI where he focuses on applications of deep learning to medical image analysis. His main interest is in computer vision and novel machine learning methods.

dont miss

Deep learning in oncology diagnostics

Medical diagnosis is a complex and time-consuming process. Facilitating it could bring us a number of benefits, e.g. increase the chances of early detection of cancer. During the seminar we will see how current state-of-the-art computer vision algorithms can be used to achieve this goal.

EVEN MORE SEMINARS

  • Piotr Giedziun & Michał Krasoń: Speaking at the Oncology Convention

    Piotr Giedziun & Michał Krasoń
    CancerCenter.AI

    Deep learning in oncology diagnostics

  • Clare Hutton & Peter Colley: Speaking at the Oncology Convention

    Clare Hutton & Peter Colley
    Hull & East Yorkshire Hospitals NHS Trust

    The Implementation & Development of IMRT in Hull

  • Kate Casey: Speaking at the Oncology Convention

    Kate Casey
    The Leeds Gamma Knife Centre

    ICON LEKSELL GAMMA KNIFE STEREOTACTIC RADIOSURGERY

  • Ms Claire Barnard: Speaking at the Oncology Convention

    Ms Claire Barnard
    GenesisCare

    Surface-Guided Radiotherapy and Optimal Breast Cancer Treatment

  • Dr. Matthew Prime: Speaking at the Oncology Convention

    Dr. Matthew Prime
    Roche Diagnostics Information Solutions

    Personalized healthcare: Leveraging data to improve patient care through clinical decision support in oncology