CFP and hypertensive disorder: By utilizing high-quality annotated CFP data and advanced DL algorithms such as CNN, U-Net, and ResNet, these techniques efficiently learn and extract structural features and pathological patterns associated with diseases, providing reliable support for diagnosing and predicting hypertension and related conditions.