Fully automated grading system for the evaluation of punctate epithelial erosions using deep neural networks.

PURPOSE: The goal was to develop a fully automated grading system for the evaluation of punctate epithelial erosions (PEEs) using deep neural networks. METHODS: A fully automated system was developed to detect corneal position and grade staining severity given a corneal fluorescein staining image. The fully automated pipeline consists of the following three steps: a corneal segmentation model extracts corneal area; five image patches are cropped from the staining image based on the five subregions of extracted cornea; a staining grading model predicts a score for each image patch from 0 to 3, and automated grading score for the whole cornea is obtained from 0 to 15. Finally, the clinical grading scores annotated by three ophthalmologists were compared with automated grading scores. RESULTS: For corneal segmentation, the segmentation model achieved an intersection over union of 0.937. For punctate staining grading, the grading model achieved a classification accuracy of 76.5% and an area under the receiver operating characteristic curve of 0.940 (95% CI 0.932 to 0.949). For the fully automated pipeline, Pearson's correlation coefficient between the clinical and automated grading scores was 0.908 (p<0.01). Bland-Altman analysis revealed 95% limits of agreement between the clinical and automated grading scores of between -4.125 and 3.720 (concordance correlation coefficient=0.904). The average time required for processing a single stained image during pipeline was 0.58 s. CONCLUSION: A fully automated grading system was developed to evaluate PEEs. The grading results may serve as a reference for ophthalmologists in clinical trials and residency training procedures.

Characteristics of Corneal Endotheliitis among Different Viruses by in Vivo Confocal Microscopy.

Objectives: To explore the cellular morphological characteristics and changes in corneal endotheliitis among different viruses by in vivo confocal microscopy (IVCM).Methods: Corneal confocal images of 44 eyes of 44 patients with HSV, VZV, CMV and EBV corneal endotheliitis were studied retrospectively. Corneal confocal images of 44 normal eyes were used as controls.Results: The pathogens included cytomegalovirus (n = 20), herpes simplex virus (n = 8), varicella zoster virus (n = 10), and Epstein Barr virus (n = 6). There were no differences in the evaluated structures among the different viruses except for the lengths of the subbasal nerves and Langerhans cell densities. Deviations in endothelial cell layers were not significant among different viruses except for owl's eye morphology.Conclusion: ICVM can assist in diagnosing endotheliitis. The results demonstrate that changes in the cornea were not different among the various viruses except for owl's eye morphology, the lengths of the subbasal nerves and Langerhans cell densities.