63 citations · 151 across the 7 of their papers we have counts for
3 papers · 1 filter
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…
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…
Breast Cancer Histopathology Image based Gene Expression Prediction using Spatial Transcriptomics data and Deep Learning
Md Mamunur Rahaman, Ewan K. A. Millar, Erik Meijering
Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy. Spatial transcriptomics technologies may address these challenges, as they pro…