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  1. Article

    Open Access

    Automated quality assessment of large digitised histology cohorts by artificial intelligence

    Research using whole slide images (WSIs) of histopathology slides has increased exponentially over recent years. Glass slides from retrospective cohorts, some with patient follow-up data are digitised for the ...

    Maryam Haghighat, Lisa Browning, Korsuk Sirinukunwattana in Scientific Reports (2022)

  2. Article

    Open Access

    Validation of grading of non-invasive urothelial carcinoma by digital pathology for routine diagnosis

    Pathological grading of non-invasive urothelial carcinoma has a direct impact upon management. This study evaluates the reproducibility of grading these tumours on glass slides and digital pathology.

    Richard Colling, Hayleigh Colling, Lisa Browning, Clare Verrill in BMC Cancer (2021)

  3. Article

    Open Access

    WHO/ISUP grading of clear cell renal cell carcinoma and papillary renal cell carcinoma; validation of grading on the digital pathology platform and perspectives on reproducibility of grade

    There are recognised potential pitfalls in digital diagnosis in urological pathology, including the grading of dysplasia. The World Health Organisation/International Society of Urological Pathology (WHO/ISUP) ...

    Lisa Browning, Richard Colling, Clare Verrill in Diagnostic Pathology (2021)

  4. Article

    Open Access

    Harnessing citizen science through mobile phone technology to screen for immunohistochemical biomarkers in bladder cancer

    Immunohistochemistry (IHC) is often used in personalisation of cancer treatments. Analysis of large data sets to uncover predictive biomarkers by specialists can be enormously time-consuming. Here we investiga...

    Peter Smittenaar, Alexandra K. Walker, Shaun McGill in British Journal of Cancer (2018)