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AssigneeTencent Technology (Shenzhen) Company Limited
InventorsShilei CAO, Kai MA, Yefeng ZHENG
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This application relates to a medical image segmentation method, a computer device, and a storage medium. The method includes: obtaining medical image data; obtaining a target object and weakly supervised annotation information of the target object in the medical image data; determining a pseudo segmentation mask for the target object in the medical image data according to the weakly supervised annotation information; and performing mapping on the medical image data by using a preset mapping model based on the pseudo segmentation mask, to obtain a target segmentation result for the target object. Because the medical image data is segmented based on the weakly supervised annotation information, there is no need to annotate information by using much labor during training of the preset mapping model, thereby saving labor costs. The preset mapping model is a model used for mapping the medical image data based on the pseudo segmentation mask.
A medical image segmentation method, applicable to a computer device, the method comprising:
A computer device, comprising a memory and a processor, the memory storing a plurality of computer programs that, when executed by the processor, cause the computer device to perform a plurality of operations including:
A non-transitory computer-readable storage medium, storing a plurality of computer programs that, when executed by a processor of a computer device, cause the computer device to perform a plurality of operations including:
Dependencies are inferred from the claim text.