Figure 3
From: Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry
Performance of SO2 calculations on datasets including contributions from yellow protein components, using various oximetry algorithms. In this scenario, the linear regression analyses do not include the yellow proteins component for solving and the CNN was not trained on data having yellow proteins contributions. (a) Test dataset spectra without COHb or MeHb contributions. (b) Test dataset spectra include 1% COHb and MeHb contributions to the hemoglobin absorption component. (c) Test dataset spectra include 6% COHb and 1% MeHb contributions to the hemoglobin absorption component. (d) Test dataset spectra include a random contribution of each hemoglobin conformation. The printed numbers above each bar correspond to the mean absolute error value for the given algorithm.
