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  • SPS
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    Length: 00:02:16
20 Apr 2023

We propose a method of segmenting retinal layers from optical coherence tomography (OCT) images for the diagnosis. The proposed method estimates the pixel-wise labels of each retinal layer and each layer surface position using convolutional neural network (CNN). We introduce CNN to a multi-scale loss and a refinement module to improve the accuracy of pixel-wise labels and layer surface position. Through experiments using a public OCT image dataset, we demonstrate that the proposed method exhibits higher accuracy of segmenting retinal layers than the state-of-the-art methods.

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  • SPS
    Members: Free
    IEEE Members: $11.00
    Non-members: $15.00
  • SPS
    Members: Free
    IEEE Members: $11.00
    Non-members: $15.00