Automated classification of idiopathic pulmonary fibrosis in pathological images using convolutional neural network and generative adversarial networks

HIGHLIGHTS

• who: Atsushi Teramoto et al. from the School of Medical Sciences, Health University, Toyoake, Japan have published the article: Automated Classification of Idiopathic Pulmonary Fibrosis in Pathological Images Using Convolutional Neural Network and Generative Adversarial Networks, in the Journal: Diagnostics 2022, 12,12, 3195 Diagnostics 2022, 3195 of /2022/
• what: The authors propose an end-to-end scheme to automatically classify IIPs using a convolutional neural network (CNN) model. The authors aimed to develop assistive technology to diagnose IPF accurately in this study. The authors focused on the classification of IPF and non-IPF patients . . .
  

   

  

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