Figure 2.
Machine learning architecture trained on visual field data. Input was a multi-dimensional array with timesteps, rows, columns, channels representing the longitudinal data.
Machine learning architecture trained on visual field data. Input was a multi-dimensional array with timesteps, rows, columns, channels representing the longitudinal data.