The MAE, MSE, RMSE, r, and R2 were used to evaluate the results. The ST and the Pearson correlation coefficient (PCC)43 were used to determine the correlation between the lesion areas and the clinical indicators. A strong correlation was obtained, with MSE = 0.0163, MAE = 0.0941, RMSE = 0.1172, r = 0.8274, and R2 = 0.6465. At a significance level of 0.001, the value of r was 1.27 times the critical value of 0.6524. This result indicates a high and significant correlation between the lesion areas and the clinical indicators. The PCC was 0.8274 (range of 0.8–1.0), indicating a strong correlation. The CNNRF was trained on the CATS and evaluated using the CAVS. The initial learning rate was 0.01, and the optimization function was the stochastic gradient descent (SGD) method44. The parameters of the CNNRF were initialized using the Xavier initialization method45.