Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time

مواد مشابهة

• Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images
  بواسطة: Hasenstab, Kyle A., وآخرون
  منشور في: (2019)
• Comparison of handcrafted features and convolutional neural networks for liver MR image adequacy assessment
  بواسطة: Lin, Wenyi, وآخرون
  منشور في: (2020)
• Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network
  بواسطة: Wang, Kang, وآخرون
  منشور في: (2019)
• Automated CT Staging of Chronic Obstructive Pulmonary Disease Severity for Predicting Disease Progression and Mortality with a Deep Learning Convolutional Neural Network
  بواسطة: Hasenstab, Kyle A., وآخرون
  منشور في: (2021)
• Alternative approach of hepatocellular carcinoma surveillance: abbreviated MRI
  بواسطة: Brunsing, Ryan L., وآخرون
  منشور في: (2020)