Multistain segmentation of renal histology: first steps toward artificial intelligence-augmented digital nephropathology.

Journal: Kidney international
PMID:

Abstract

Artificial intelligence (AI), and particularly deep learning (DL), are showing great potential in improving pathology diagnostics in many aspects, 1 of which is the segmentation of histology into (diagnostically) relevant compartments. Although most current studies focus on AI and DL in oncologic pathology, an increasing number of studies explore their application to nephropathology, including the study published in this issue of Kidney International by Jayapandian et al.

Authors

  • Roman D Bülow
    Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Jesper Kers
    Department of Pathology, Amsterdam Infection & Immunity, Amsterdam Cardiovascular Sciences, Amsterdam UMC, and.
  • Peter Boor
    Institute of Pathology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.