[Advances in computational quantitative nephropathology].

Journal: Pathologie (Heidelberg, Germany)
Published Date:

Abstract

BACKGROUND: Semiquantitative histological scoring systems are frequently used in nephropathology. In computational nephropathology, the focus is on generating quantitative data from histology (so-called pathomics). Several recent studies have collected such data using next-generation morphometry (NGM) based on segmentations by artificial neural networks and investigated their usability for various clinical or diagnostic purposes.

Authors

  • Roman D Bülow
    Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Patrick Droste
    Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany.
  • Peter Boor
    Institute of Pathology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.