Evaluation of emphysema on thoracic low-dose cts through attention-based multiple instance deep learning

HIGHLIGHTS

• who: Jordan Fuhrman from the The University have published the paper: Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning, in the Journal: Scientific Reports Scientific Reports
• what: The authors utilized a VGG-19 architecture pre-trained for natural image classification on ImageNet to extract quantitative features similar to the scheme proposed by u00adAntropova30. While larger standard architectures such as ResNet50 and DenseNet121 could be utilized for feature extraction, this study shows that even the use of smaller, less complex models can achieve competitive performance.
• how: The . . .
  

   

  

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