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Outcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series

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Background: Prediction of clinical outcomes for individual cancer patients is an important step in the disease diagnosis and subsequently guides the treatment and patient counseling. In this work, we develop and evaluate a joint outcome and biomarker supervised (estrogen receptor expression and ERBB...

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Main Authors: Dmitrii Bychkov (Author), Heikki Joensuu (Author), Stig Nordling (Author), Aleksei Tiulpin (Author), Hakan Kücükel (Author), Mikael Lundin (Author), Harri Sihto (Author), Jorma Isola (Author), Tiina Lehtimäki (Author), Pirkko-Liisa Kell (Author), Karl von Smitten (Author), Johan Lundin (Author), Nina Linder (Author)
Format: Book
Published: Elsevier, 2022-01-01T00:00:00Z.
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