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Showing 1–3 of 3 results
Advanced filters: Author: Daan J. Geijs Clear advanced filters

  • Machine learning models represent an opportunity for the automatic generation of histopathology reports. Here, the authors develop HistoGPT, a vision language model that can generate reports from multiple gigapixel-sized whole slide images and also predict tumour thickness, subtypes, and margins, among other diseases.

    • Manuel Tran
    • Paul Schmidle
    • Tingying Peng
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-17

  • This study describes a methodology to assess the microenvironment in sparse tissue samples. Deep learning, multiplex immunohistochemistry, and mathematical image processing techniques were incorporated to quantify lymphocytes, macrophages, and capillaries in kidney transplant biopsies of delayed graft function patients. The quantitative results were used to assess correlations with development of interstitial fibrosis and tubular atrophy.

    • Meyke Hermsen
    • Valery Volk
    • Jeroen A. W. M. van der Laak
    ResearchOpen Access
    Laboratory Investigation
    Volume: 101, P: 970-982