Ophthalmic medical image segmentation method and system and storage medium

Abstract

Ophthalmic medical image segmentation method includes dividing the medical image data into a training set and a test set according to an autonomously set proportion; constructing a convolutional neural network model adopting a U-shaped encoding and decoding structure based on an attention mechanism and a weighted loss function, and performing training; transmitting a to-be-segmented medical image to obtain a segmentation result, wherein the attention mechanism is introduced into the U-shaped encoding and decoding structure: a superficial layer feature map Iof an encoder is subjected to convolution to obtain I, and a deep layer feature map Iof a decoder is subjected to up-sampling and convolution to obtain I; the Iand the Iare multiplied to obtain I; the Iand the Iare summed, and Iis then output through an activation function; and the Iand the Iare spliced, and then output to a target layer.