1. Company introduction

DN Co., Ltd.is a company that develops ophthalmic diagnostic medical equipment and software, and is currently conducting research aiming to develop a strabismus automatic diagnostic program.

2. Problem Background and Summary

The number of patients undergoing strabismus tends to increase gradually. In particular, strabismus was found in about 2% of children. The strabismus specialist who diagnoses strabismus is only 5-10% of all ophthalmologists. Request the development of an algorithm that automatically determines strabismus without the help of a specialist

3. Solving Process

It is difficult to distinguish strabismus and extra when implementing the algorithm as it is, referring to the related paper. After normal translation of the 2D data extracted from the eye-tracking device, normal and strabismus are classified based on the Pearson correlation coefficient. Use features obtained in various ways to apply algorithms such as random forest to classify normal and squint

4. Ripple effects and future plans

It is better to present the actual strabismus diagnostic method directly for the development of strabismus diagnostic software. After collecting enough data, it is better to apply deep running method such as multilayer perceptron or convolution neural network. Expected to obtain a model of performance The provided algorithm will be installed in software manufactured by the current company in the future, and it will be used in client applications actually used by ophthalmologists and pediatricians.