Enhancing Foveal Avascular Zone Analysis For Alzheimer’s Diagnosis With Ai Segmentation And Machine Learning Using Multiple Radiomic Features

This article discusses the use of multiple radiomic features in Alzheimer’s diagnosis using OCTA scans. The proposed technique is compared to two baseline techniques and evaluated using various metrics. The results show that the proposed technique outperforms the baseline techniques in accuracy, sensitivity, and specificity.