Péter Horváth

This paper develops a deep convolutional neural network for automated astrocyte detection in microscopy images, achieving accuracy comparable to human experts and faster runtime than existing methods.

The paper shows that incorporating microenvironmental features improves machine learning-based single-cell phenotyping in imaging data.