Deep Learning for Chondrocyte Identification in Automated Histological Analysis of Articular Cartilage.
Journal:
The Iowa orthopaedic journal
PMID:
32577101
Abstract
BACKGROUND: Histology-based methods are commonly used in osteoarthritis (OA) research because they provide detailed information about cartilage health at the cellular and tissue level. Computer-based cartilage scoring systems have previously been developed using standard image analysis techniques to give more objective and reliable evaluations of OA severity. The goal of this work was to develop a deep learning-based method to segment chondrocytes from histological images of cartilage and validate the resulting method via comparison with human segmentation.