Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules

HIGHLIGHTS

• who: Rafael Paez from the DepartmentVanderbilt University have published the Article: Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules, in the Journal: Scientific Reports Scientific Reports
• how: In this model the mixed-effects models for the longitudinal LCP CNN scores and the Cox proportional hazards model for the time to cancer diagnosis were simultaneously analyzed. The authors hypothesized that the joint-model with the longitudinal LCP CNN scores performed better than a cross sectional logistic regression model with a single time point. The authors used a joint model . . .
  

   

  

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