output
20232026
most citedhist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images

63 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.CV2023★ 63 cited

hist2RNA: An efficient deep learning architecture to predict gene expression from breast cancer histopathology images

Raktim Kumar Mondol, Ewan K. A. Millar, Peter H Graham +3

Gene expression can be used to subtype breast cancer with improved prediction of risk of recurrence and treatment responsiveness over that obtained using routine immunohistochemist…

eess.IV2023★ 57 cited

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…