3. Results
After 50 epoch trainings and a total of 62 hours, we developed a fine classification model having an accuracy of 86.67% on the training set. The accuracy of the test set reached 82.86%, and a good prediction result was obtained. Figure 4a, Figure 4b shows the recognition effect of the image of the urinary particle after the model test. Table 1 lists the average accuracy results for each category of the model. Among them, the crystals class had the highest accuracy of 92.26%, whereas those of abnormal erythrocytes, abnormal epithelial cells, and calcium oxalate crystals were not ideal. We discuss the specific reasons behind this result in the next section.