2 papers
eess.IV2025
GRAPHITE: Graph-Based Interpretable Tissue Examination for Enhanced Explainability in Breast Cancer Histopathology
Raktim Kumar Mondol, Ewan K. A. Millar, Peter H. Graham +3
Explainable AI (XAI) in medical histopathology is essential for enhancing the interpretability and clinical trustworthiness of deep learning models in cancer diagnosis. However, th…
eess.IV2024
Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images
Piumi Sandarenu, Julia Chen, Iveta Slapetova +6
Advancements in digital imaging technologies have sparked increased interest in using multiplexed immunofluorescence (mIF) images to visualise and identify the interactions between…