Research Article

[Retracted] Identification of Diabetic Retinopathy through Machine Learning

Table 6

Average performance of the 15 series of experiments with RBM-1000, considering four classes (no DR, light DR, mod/severe, and proliferative).

RBM-1000Machine learning
Hit %
SpecialistWithout DRWith DR
AbsenceLightMod/recordProliferative

Without DRAbsence1400014/14 (100%)
With DRLight03103/4 (75%)
Mod/record1110010/12 (83.3%)
Proliferative00077 77/7 (100%)