Ontology highlight
ABSTRACT: Methods
Patients aged > 19 years in our hemodialysis unit from March 2021 to October 2021 were enrolled. The borders of the lungs and heart on CXRs were labeled by two nephrologists as the ground truth (nephrologist-defined mask). We implemented AlbuNet-34, a U-Net variant, to predict the heart and lung margins from CXR images and to automatically calculate the CTRs.Results
The coefficient of determination (R2) obtained using the neural network model was 0.96, compared with an R2 of 0.90 obtained by nu
SUBMITTER: Chou HH
PROVIDER: S-EPMC10137564 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature