Fig. 5: Quantitative and qualitative results at the different stages of the proposed framework in the validation set.
From: Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection
a Boxplots of the macro F1-Score of the validation set using the eight different classifiers at the three different stages. In the plot, the centre line, the box limits and the whiskers represent the median, the upper and lower quartiles and the 1.5× interquartile range, respectively. Two medians are significantly different at the 5% significance level if their intervals (shaded colour areas) do not overlap. b Average OA, sensitivity, and specificity results of the validation set from the 5 folds using the Spatial/Spectral approach (error bars represent the standard deviation). c Example of the output maps at the different stages of the proposed framework from Op42C2 of the validation set (based on the DNN as supervised algorithm using the optimal hyperparameters).
