Table 2.
MAE(%) |
RMSE(%) |
||||||
---|---|---|---|---|---|---|---|
ACLR | PL | Improved | ACLR | PL | Improved | ||
| |||||||
TV | 3%/3 mm | 1.76** | 2.10 | 16 | 2.50 | 2.99 | 16 |
3%/2 mm | 2.60** | 3.04 | 17 | 3.50 | 4.23 | 17 | |
2%/2 mm | 4.66** | 5.29 | 12 | 6.08 | 6.95 | 13 | |
CV | 3%/3 mm | 1.73 | 2.07 | 16 | 2.61 | 3.04 | 14 |
3%/2 mm | 2.75 | 2.99 | 8 | 3.87 | 4.12 | 6 | |
2%/2 mm | 5.93* | 7.12 | 17 | 7.39 | 8.91 | 17 |
Abbreviations: MAE = mean absolute error, RMSE = root mean squared error; TV = technical validation; CV = clinical validation. ACLR = autoencoder based classification-regression deep learning model; PL = Poisson Lasso. Student t test was performed on MAE values between ACLR and PL in TV and CV. Improved = the percentage improvement between ACLR and PL. Bold number in table 2 = absolute prediction errors have significant differences between ACLR and PL
in table 2 = (p < 0.01)
= (p < 0.05)