Quantitative analysis of functional filtering bleb size using Mask R-CNN.

ABSTRACT:

Background

Deep learning has had a large effect on medical fields, including ophthalmology. The goal of this study was to quantitatively analyze the functional filtering bleb size with Mask R-CNN.

Methods

This observational study employed eighty-three images of post-trabeculectomy functional filtering blebs. The images were divided into training and test groups and scored according to the Indiana Bleb Appearance Grading Scale (IBAGS) system. Then, 70 images from the training group were used to train an automatic detection system based on Mask R-CNN and perform a quantitative analysis of the function bleb size. Thirteen images from the test group were used to evaluate the model. During the training process, left and right image-flipping algorithms were used for data augmentat

SUBMITTER: Wang T 

PROVIDER: S-EPMC7327364 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature