![](bg8.png)
other hand, the deep learning-based approach for im-
age classification used MobileNetV2 as a base model
for the overall structure and a different feature space
resulting in a facial mesh. Looking at our results,
we achieved an accuracy of approximately 98.93%,
which shows that the model outperformed all the pre-
vious studies mentioned in the article and our ini-
tial approach. Developing such incremental and im-
proved methods results in higher reliability and accu-
racy in medical diagnostic systems. These methods
can also serve as the basis for forming standardised
tools for medical assessments, treatment, and moni-
toring.
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