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Ambrosini, P. (author), Hollemans, Eva (author), Kweldam, Charlotte F. (author), Leenders, Geert J.L.H.van (author), Stallinga, S. (author), Vos, F.M. (author)
Cribriform growth patterns in prostate carcinoma are associated with poor prognosis. We aimed to introduce a deep learning method to detect such patterns automatically. To do so, convolutional neural network was trained to detect cribriform growth patterns on 128 prostate needle biopsies. Ensemble learning taking into account other tumor...
journal article 2020