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20192024
most citedTranscriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks

31 citations · 95 across the 11 of their papers we have counts for

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Showing 2020Show all

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eess.IV2020★ 6 cited

Predicting molecular phenotypes from histopathology images: a transcriptome-wide expression-morphology analysis in breast cancer

Yinxi Wang, Kimmo Kartasalo, Masi Valkonen +4

Molecular phenotyping is central in cancer precision medicine, but remains costly and standard methods only provide a tumour average profile. Microscopic morphological patterns obs…