id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-22363	Li, Shaojie; Guo, Ying	A Deep Learning-Based Diabetic Retinopathy Classification and Diagnosis System	2024	4	.pdf	application/pdf	2693	121	46	System lesion detection interface (2) Obtaining the detection model The process of result detection is shown in Figure 5: first load the classification labels DR0, DR1, DR2, DR3, DR4 of DR, and load the weights of the optimal model of performance, at this time, the loading of the model proposed in this paper has been completed, and then you can select a picture that you want to detect in the system, and finally click on the “Run Result” button in Figure 4 to enter the evaluation mode. System lesion detection run results 5.	cache/ajst-22363.pdf	txt/ajst-22363.txt