EyeMark

EyeMark is a novel semi-automated computer program developed by our team (lead programmer Karun Kannan) using Python 3 coding language to quickly and accurately extract quantitative corneal measurements from ultrasound biomicroscopy (UBM) images.

https://github.com/karunkannan/EyeMark/wiki

Lens Classification

Lens Classification is a deep learning algorithm designed by our team (lead programmer Christopher Le) to determine lens status in a pediatric population. This tool is the first ever deep learning program developed specifically for anterior segment classification of UBM images for pediatric patients. Lens Classification is available open source and offers automatic classification of UBM images as “phakic”, “aphakic”, and “pseudophakic”. This proof of concept project established that clinically relevant lens information can be extracted from a relatively small UBM image set using a pre-trained Densenet-121 convolutional neural network.

https://github.com/cle801/Lens-Classification