Anales de la RANM

271 A N A L E S R A N M R E V I S T A F U N D A D A E N 1 8 7 9 DEEP LEARNING GENITAL LESIONS IMAGE CLASSIFICATION González-Alday R, et al. An RANM. 2022;139(03): 266 - 273 Figure 3 shows some examples of the GradCam explanations produced for the classified instances, some of them from accurate predictions and others from incorrect predictions, in order to illustrate how these heatmaps can help assess the model’s functio- ning. Warmer colors in these maps indicate higher gradients and therefore more influence of those regions on the final model’s prediction. Figure 3. Produced GradCam explanations for some examples during testing. Outlined images remark the predicted class in each case.)