Retinal vessel segmentation method and terminal based on residual network feature extraction
A retinal blood vessel and network feature technology, applied in the retinal blood vessel segmentation method and terminal field based on residual network feature extraction, can solve the problems of complex implementation and unsatisfactory segmentation results, and achieve the effect of improving evaluation indicators
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[0045]This embodiment discloses a retinal vessel segmentation method based on residual network feature extraction, which can be used in the design and implementation of residual network and retinal vessel segmentation methods. Aiming at the poor accuracy of retinal vessel segmentation in current medical image segmentation, the present invention proposes The ResDouble-Unet network model fused with the improved residual neuron is proposed, which effectively improves the segmentation accuracy.
[0046] With the popularity of computer hardware GPU and the rapid development of computer vision, Olaf Ronneberger and Philipp Fischer (Ronneberger O, Fischer P, Brox T.U-Net: Convolutional Networks for Biomedical Image Segmentation[J].2015.) et al. proposed a coding The decoding format is based on the deep learning algorithm of neural network, and applied to medical image segmentation, which has achieved good results. JMJ Valanarasu and VASindagi (Valanarasu J M J, Sindagi V A, Hacihalil...
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