Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization.

Journal: Osteoarthritis and cartilage
PMID:

Abstract

OBJECTIVE: To automate the grading of histological images of engineered cartilage tissues using deep learning.

Authors

  • L Power
    Department of Biomedical Engineering, University of Basel, Switzerland; Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland. Electronic address: laura.power@unibas.ch.
  • L Acevedo
    Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland. Electronic address: linamarcelacevedo@gmail.com.
  • R Yamashita
    Department of Biomedical Data Science, Stanford University School of Medicine, USA. Electronic address: rikiya@stanford.edu.
  • D Rubin
    From the Departments of Radiology (G.Z., M.W., D.R., C.P.L.).
  • I Martin
    Department of Biomedical Engineering, University of Basel, Switzerland; Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland. Electronic address: ivan.martin@usb.ch.
  • A Barbero
    Department of Biomedicine, University Hospital Basel, University of Basel, Switzerland. Electronic address: andrea.barbero@usb.ch.