Aaron Seitz

Sponsor: National Eye Institute

Using Population Contrast Sensitivity Function Data to Develop Tunable Test Procedures

This project uses machine learning to optimize measures of contrast sensitivity.

Specific Aim (s): Aim 1: Implement and validate a machine learning CSF estimator (mlCSF).

Aim 2: Improve mlCSF efficiency with population CSF data.

Aim 3: Extend mlCSF models to include related individual measures.