Deep learning and wing interferential patterns identify Anopheles species and discriminate amongst Gambiae complex species

Figure 2 Wing interferential Patterns for male and female specimens of some Anopheles species. Full size imageFigure 3 Wing Interferential Patterns of Anopheles specimens collected at various periods. The automatic classification process accuracy for Anopheles Meigen, 1818 is incredibly high, with more than 99% of accuracy (Table 2). Other clusters include all members of the same species plus some pictures of other related species: cluster 1, all An. obscurus misidentified as non-Anopheles), at the species level, and within the Gambiae complex.