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Fig. 5 | Journal of Big Data

Fig. 5

From: Automatic diagnosis of keratitis using object localization combined with cost-sensitive deep attention convolutional neural network

Fig. 5

Visualization of the separability for the embedding features learned by the CDACNN and DenseNet in the internal test dataset via t-SNE. Different colored point clouds represent the different categories. “Normal” indicates normal cornea. “Others” indicates cornea with other abnormalities. Conj_Cor conjunctiva and cornea, t-SNE t-distributed stochastic neighbor embedding, CDACNN cost-sensitive deep attention convolutional neural network

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