Method and system for processing image, device and medium

A computer device, comprising:

• at least one processor;
• and
• a memory storing computer readable instructions executable on the at least one processor, wherein when executing the computer readable instructions, the computer readable instructions cause the at least one processor to:
• preprocess images in an initial dataset to obtain a training dataset;
• train an image segmentation neural network by the training dataset;
• remove a last loss function layer of a trained image segmentation neural network to obtain an inference network;
• input the training dataset into the inference network to obtain a plurality of logical vectors;
• train a check network on a basis of the plurality of the logical vectors, the initial dataset, and a mask of each of the images in the initial dataset;
• and
• perform inference on an image to be processed by the inference network and a trained check network so as to obtain the mask of the image to be processed.

One or more non-transitory computer readable storage medium storing computer readable instructions which, when executed by one or more processors, cause the one or more processors to:

• preprocess images in an initial dataset to obtain a training dataset;
• train an image segmentation neural network by the training dataset;
• remove a last loss function layer of a trained image segmentation neural network to obtain an inference network;
• input the training dataset into the inference network to obtain a plurality of logical vectors;
• train a check network on a basis of the plurality of the logical vectors, the initial dataset, and a mask of each of the images in the initial dataset;
• and
• perform inference on an image to be processed by the inference network and a trained check network so as to obtain the mask of the image to be processed.