OCTess: An Optical Character Recognition Algorithm for Automated Data Extraction of Spectral Domain Optical Coherence Tomography Reports.

We developed an OCR and machine learning algorithm that extracts SD-OCT data with near-perfect accuracy, which is more accurate and efficient compared to a human. This algorithm can be used for efficient construction of large-scale SD-OCT datasets for researchers and clinicians.