Boundary enhanced convolutional neural network for OCT image cornea layer segmentation
A convolutional neural network and corneal layer technology, applied in the field of image segmentation, can solve problems such as underutilization, achieve accurate extraction, reduce segmentation errors, and improve detection sensitivity and effectiveness
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[0025] A boundary-enhanced convolutional neural network for OCT image corneal layer segmentation is further described below in conjunction with the accompanying drawings;
[0026] refer to figure 1 , a kind of boundary enhancement convolutional neural network for OCT image corneal layer segmentation among the present invention, comprises the following steps:
[0027] Step 1, analyze the operational similarity between the Gaussian difference boundary detection algorithm and the convolution module in the existing segmentation network, and then improve the convolution module in the segmentation network based on the Gaussian difference algorithm and explain the feasibility and rationality of this improvement strategy .
[0028] Step 2, the design of the convolution module
[0029] Inspired by the Gaussian difference boundary detection algorithm, a pixel-based subtraction operation is introduced between the two convolutional layers of the existing convolution module to obtain a n...
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