Open AccessOutcome and biomarker supervised deep learning for survival prediction in two multicenter breast cancer series
Author(s) -
Dmitrii Bychkov,
Heikki Joensuu,
Stig Nordling,
Aleksei Tiulpin,
Hakan Kücükel,
Mikael Lundin,
Harri Sihto,
Jorma Isola,
Tiina Lehtimäki,
PirkkoLiisa KellokumpuLehtinen,
K von Smitten,
Johan Lundin,
Nina Linder
Publication year - 2022
Publication title -
journal of pathology informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 17
ISSN - 2153-3539
DOI - 10.4103/jpi.jpi_29_21
Subject(s) - artificial intelligence , breast cancer , machine learning , deep learning , hazard ratio , oncology , medicine , overfitting , tissue microarray , proportional hazards model , cancer , computer science , confidence interval , artificial neural network