Ierm: an interpretable deep learning system to classify epiretinal membrane for different optical coherence tomography devices: a multi-center analysis

HIGHLIGHTS

  • who: Kai Jin and collaborators from the Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, China have published the research work: iERM: An Interpretable Deep Learning System to Classify Epiretinal Membrane for Different Optical Coherence Tomography Devices: A Multi-Center Analysis, in the Journal: (JOURNAL)
  • what: For the class predicted by the model for each image, the gradient of the last convolutional layer features for that class was identified to find the region that the classification model focuses on. This study has shown potential for AI-assisted fine-grained . . .

     

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