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Table 4 Spearman’s correlation coefficients (rho) for the univariate association between influencing factors and convolutional neural network’s classification on calcified plaques with motion artifacts

From: Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors

 

Inception v3

ResNet101

DenseNet201

rho (95% CI)

p value

rho (95% CI)

p value

rho (95% CI)

p value

Density

0.139 (0.083, 0.195)

< 0.001

0.199 (0.061, 0.337)

< 0.001

0.194 (0.074, 0.314)

< 0.001

CT vendor

0.031 (− 0.017, 0.079)

0.249

− 0.049 (− 0.151, 0.053)

0.210

− 0.102 (− 0.192, − 0.012)

0.107

Velocity

0.191 (0.105, 0.277)

< 0.001

0.169 (0.029, 0.309)

< 0.001

0.163 (0.024, 0.302)

< 0.001

Dose

− 0.028 (− 0.081, 0.025)

0.518

0.028 (− 0.052, 0.108)

0.477

0.046 (− 0.010, 0.102)

0.239

Reconstruction

0.019 (− 0.031, 0.069)

0.312

0.118 (0.030, 0.206)

0.230

0.134 (0.023, 0.245)

0.222

  1. High, medium-1, medium-2, and low-density plaque were coded as 1–4, respectively, four CT systems (CT-A to CT-D) as 1–4; velocities from 0 to 60 mm/s coded as 0–6; dose level 40%, 80% and full dose coded as 1–3; recon method FBP, IR1 to IR3 coded as 1–4
  2. FBP filtered back projection, IR iterative reconstruction
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BMC Medical Imaging

ISSN: 1471-2342

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