Dr Martin Fergie

University of Manchester

Martin Fergie is a machine learning and computer vision researcher at the University of Manchester in the Division of Informatics, Imaging and Data Sciences. After completing his PhD in 2012, he became the Chief Technology Officer of DigitalBridge, a start-up applying deep learning technology for performing image understanding for indoor scenes. In March 2017 he moved to the University of Manchester to apply his experience in machine learning and computer vision to help develop novel imaging biomarkers. Research areas include predicting breast cancer risk from screening data and applying artificial intelligence to histopathology data. In September 2018 he was appointed as a Lecturer in the i3HS Hub at the University of Manchester.

dont miss

Digital Pathology: Opportunities for Artificial Intelligence to improve the Cancer Diagnostic Workflow

Pathologists are a crucial part of the cancer diagnostic pathway, analysing tissue biopsies and tumour specimens to provide accurate and timely cancer diagnoses and prognostic information. Pathology departments are under immense pressure to keep up with the workload, caused by a global shortage of trained pathologists and increasing cancer incidence. This talk will outline ways in which digital pathology and AI can help pathology departments adapt to this challenging environment.


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    Professor Maureen Baker CBE
    The Professional Record Standards Body (PRSB)

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    Dr Hugh Harvey
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  • Graham King: Speaking at the AI and Machine Learning Convention

    Graham King
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    AI Doctor will see you now

  • Dr Phil Koczan: Speaking at the AI and Machine Learning Convention

    Dr Phil Koczan
    NHS England

    Assessing the application of Artificial Intelligence and its use in the NHS

  • Emma C. Robinson: Speaking at the AI and Machine Learning Convention

    Emma C. Robinson
    King's College London

    Using deep learning to predict outcomes for vulnerable preterm babies