Hypothesis‐free deep survival learning applied to the tumour microenvironment in gastric cancer

• Main Authors: Armin Meier (Author), Katharina Nekolla (Author), Lindsay C Hewitt (Author), Sophie Earle (Author), Takaki Yoshikawa (Author), Takashi Oshima (Author), Yohei Miyagi (Author), Ralf Huss (Author), Günter Schmidt (Author), Heike I Grabsch (Author)
• Format: Book
• Published: Wiley, 2020-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract The biological complexity reflected in histology images requires advanced approaches for unbiased prognostication. Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology. In this study, we propose new ways to predict risk for cance...