Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–2 of 2 results
Advanced filters: Author: Srividhya Sainath Clear advanced filters

  • Molecular biomarkers of recurrence in colorectal cancer (CRC) generally cannot capture spatial information about the tumour and its microenvironment. Here, the authors develop HIBRID, a deep learning model to predict disease-free survival in CRC from histopathology whole slide images, improving risk stratification in large cohorts.

    • Chiara M. L. Loeffler
    • Hideaki Bando
    • Jakob Nikolas Kather
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-11

  • Medical image classification remains a challenging process in deep learning. Here, the authors evaluate a large vision language foundation model (GPT-4V) with in-context learning for cancer image processing and show that such models can learn from examples and reach performance similar to specialized neural networks while reducing the gap to current state-of-the art pathology foundation models.

    • Dyke Ferber
    • Georg Wölflein
    • Jakob Nikolas Kather
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-12