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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 2021Show all

2 papers · 1 filter

eess.IV2021

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies

Bojing Liu, Yinxi Wang, Philippe Weitz +6

Background: Transrectal ultrasound guided systematic biopsies of the prostate is a routine procedure to establish a prostate cancer diagnosis. However, the 10-12 prostate core biop…

cs.CV2021★ 31 cited

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

Philippe Weitz, Yinxi Wang, Kimmo Kartasalo +5

Molecular phenotyping by gene expression profiling is common in contemporary cancer research and in molecular diagnostics. However, molecular profiling remains costly and resource…