Medical image segmentation method and device, computer equipment and storage medium

The invention discloses a medical image segmentation method and device, computer equipment and a storage medium. The method comprises the following steps: inputting a sample image into a PVT feature encoder for global semantic feature extraction to obtain a low-level feature and a plurality of high-level features; performing convolution processing on the low-level features to obtain a boundary prediction map; inputting the plurality of advanced features into a feature pyramid network for multiple times of up-sampling and feature fusion to obtain a plurality of corresponding network features; inputting each network feature into a foreground and background prediction module to obtain a foreground prediction map and a background prediction map; splicing the foreground prediction images to obtain a global foreground prediction image, and splicing the background prediction images to obtain a global background prediction image; and carrying out loss calculation by using the loss function, carrying out back propagat