Abstract: Some embodiments of the disclosure provide a method for measuring lesion features of hypertensive retinopathy. In some examples, the method includes: acquiring a fundus image (s110); identifying an optic disc region of the fundus image and dividing the fundus image into at least three regions including a first region (c1), a second region (c2), and a third region (c3) on the basis of the optic disc region (b) (s120); performing artery and vein segmentation on the fundus image by a deep learning-based arteriovenous segmentation model to obtain the arteriovenous segmentation result (s130), the arteriovenous vessel annotation results including an artery annotation result (e1), a vein annotation result (e2), and a small vessel annotation result (e3); and measuring lesion features in the fundus image on the basis of the three regions (c1, c2, c3) and the arteriovenous segmentation result (s140).