Deep learning for fetal inflammatory response diagnosis in the umbilical cord.

Journal: Placenta
Published Date: Apr 24, 2025

Abstract

INTRODUCTION: Inflammation of the umbilical cord can be seen as a result of ascending intrauterine infection or other inflammatory stimuli. Acute fetal inflammatory response (FIR) is characterized by infiltration of the umbilical cord by fetal neutrophils, and can be associated with neonatal sepsis or fetal inflammatory response syndrome. Recent advances in deep learning in digital pathology have demonstrated favorable performance across a wide range of clinical tasks, such as diagnosis and prognosis. In this study we classified FIR from whole slide images (WSI).

Authors

  • Marina A Ayad
    Northwestern University, Department of Pathology, Chicago, IL, USA.
  • Ramin Nateghi
    Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran. Electronic address: r.nateghi@sutech.ac.ir.
  • Abhishek Sharma
    Department of Biotechnology and Bioengineering, Institute of Advanced Research, Koba Institutional Area, Gandhinagar, India.
  • Lawrence Chillrud
    Northwestern University, Department of Pathology, Chicago, IL, USA.
  • Tilly Seesillapachai
    Northwestern University, Department of Pathology, Chicago, IL, USA.
  • Teresa Chou
    Northwestern University, Department of Pathology, Chicago, IL, USA.
  • Lee A D Cooper
    Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, 30322, USA. lee.cooper@emory.edu.
  • Jeffery A Goldstein
    Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. ja.goldstein@northwestern.edu.

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