[Deep Learning in Pathology: Applications and Challenges in Ophthalmic Pathology].

Journal: Klinische Monatsblatter fur Augenheilkunde
Published Date:

Abstract

INTRODUCTION: Deep learning has received increasing attention in recent years and is used in many different areas. Since image analysis is a strength of deep learning, it would be obvious to use it for histopathological questions too. Our goal is to identify possible deep learning approaches from general pathology which could be used in ophthalmic pathology. In addition, the data of the past year will be used to estimate the proportion of potentially interesting cases and the necessary technical effort.

Authors

  • Stefan J Lang
    Klinik für Augenheilkunde, Universitätsklinikum Freiburg.
  • Andreas Glatz
    Klinik für Augenheilkunde, Universitätsklinikum Freiburg.
  • Kristina Joana Schoelles
    Klinik für Augenheilkunde, Universitätsklinikum Freiburg.
  • Thomas Reinhard
    Eye Center, Medical Center, University of Freiburg, Freiburg, Germany.
  • Claudia Auw-Hädrich
    Klinik für Augenheilkunde, Universitätsklinikum Freiburg.