“…However, in accordance with the state of the art, the importance of using computational techniques in similar applications can be emphasized, such as a work related to the semi-automatic counting of amastigote nests by mathematical morphology; although in other studies the authors do not perform nest detection, they show a precision of 0.91 and 0.96, an accuracy of 0.83 and 0.86, as well as accuracy rates of 0.85 ± 0.10, recall rates of 0.86 ± 0.11%, and error rates of 0.16 ± 0.08 [33]. A similar work has also been presented about amastigote counting in Chagas-infected cells using unsupervised automatic classification techniques and morphological granulometric processing, obtaining in its test models error rates of 0.10 and 0.26, precision of 0.76 and 0.85, recall 0.61 and 0.78, as well as F-measures of 0.66 and 0.75, respectively [34]. Therefore, we consider that our results are objectively comparable to those already reported, also considering that automatic nest detection is being carried out.…”