Patent ID: 11972571
Assignee: INFERVISION MEDICAL TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. The electronic apparatus according to claim 17, wherein the training a cascaded neural network based on the sample image to generate a segmentation model for obtaining a second segmentation result of the background and the blood vessel in the epitaxial region, comprises:
performing a down-sampling operation on the sample image by the first neural network to obtain multiple first feature maps;
performing an up-sampling operation and a fusion operation on the multiple first feature maps by the second neural network to obtain a second feature map;
activating the second feature map by using a classifier to obtain the second segmentation result of the background and the blood vessel in the epitaxial region;
obtaining a loss function value of the cascaded neural network according to the second segmentation result and the second label; and
updating parameters of the cascaded neural network according to the loss function value,
wherein the first neural network is a deep residual network, and the second neural network is a feature pyramid network.