1. Assessment Of Central Serous Chorioretinopathy Depicted On Color Fundus Photographs Using Deep Learning

    Assessment Of Central Serous Chorioretinopathy Depicted On Color Fundus Photographs Using Deep Learning

    Purpose: To investigate whether and to what extent central serous chorioretinopathy ( CSC ) depicted on color fundus photographs can be assessed using deep learning technology. Methods: We collected a total of 2,504 fundus images acquired on different subjects. We verified the CSC status of these images using their corresponding optical coherence tomography images. A total of 1,329 images depicted CSC . These images were preprocessed and normalized. This resulting data set was randomly split into three parts in the ratio of 8:1:1, respectively, for training, validation, and testing purposes. We used the deep learning architecture termed Inception-V3 to ...

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