IMAGE SEGMENTATION MODEL TRAINING METHOD, IMAGE SEGMENTATION METHOD, AND APPARATUS

Provided in the present application are an image segmentation model training method, an image segmentation method, an apparatus, and a device. The training method comprises: acquiring medical images for training and segmentation results of said medical images; and according to said medical images and the segmentation results of said medical images, training an image segmentation model until a preset condition is met, and obtaining the trained image segmentation model. The model comprises an encoder module and a decoder module; the encoder module comprises, connected in sequence, a first convolutional layer, a pooling layer and a plurality of efficient pyramid split attention units; each efficient pyramid split attention unit comprises, connected in sequence, a second convolutional layer, a pyramid squeeze attention module and a third convolutional layer. By using the pyramid squeeze attention module in the encoder module, the feature extraction capability of the encoder module is improved, so that the image s