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. Author manuscript; available in PMC: 2023 Apr 4.
Published in final edited form as: Phys Med Biol. 2020 Nov 27;65(23):235023. doi: 10.1088/1361-6560/abb31c

Table 2.

Prediction accuracy of ACLR and Poisson Lasso model under different gamma criteria.

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)