Publications by authors named "Jameson M Clover"
Purpose: To determine endothelial cell density (ECD) from real-world donor cornea endothelial cell (EC) images using a self-supervised deep learning segmentation model.
Methods: Two eye banks (Eversight, VisionGift) provided 15,138 single, unique EC images from 8169 donors along with their demographics, tissue characteristics, and ECD. This dataset was utilized for self-supervised training and deep learning inference.
Purpose: The purpose of this study was to evaluate agreement between eye banks (EBs) and an image analysis reading center on endothelial cell density (ECD) determinations using the same image analysis method.
Methods: The Cornea Image Analysis Reading Center (CIARC) determined ECD with a single experienced analyst on EB-obtained central endothelial images from donors intended for keratoplasty from 2 eye banks, Eversight and Lions VisionGift, using the Konan center analysis method. The EBs performed ECD determination on their respective sets of images using the same analysis method with experienced eye bank technicians.
Article Synopsis
- The study aimed to compare the endothelial cell density (ECD) measurements between eye banks (EBs) and a reading center as part of the Cornea Preservation Time Study.
- Results showed that EBs typically recorded a higher mean preoperative ECD by 15 cells/mm compared to the reading center, with noticeable variability in individual measurements.
- Agreement between the two methods improved when analyzing more than 100 cells, indicating more consistent results with larger sample sizes.