| CPC G06T 7/11 (2017.01) [G06N 5/022 (2013.01); G06T 7/136 (2017.01); G06T 2207/20081 (2013.01)] | 17 Claims |
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1. A method for determining a target image region of a target object in a target image, the method comprising:
obtaining, by a device comprising a memory storing instructions and a processor in communication with the memory, an original mask and an image segmentation model, the image segmentation model comprising a first unit model and a second unit model;
downsampling, by the device, the original mask based on a pooling layer in the first unit model to obtain a downsampled mask;
extracting, by the device, region convolution feature information of a target image based on a convolution pooling layer in the second unit model and the downsampled mask;
updating, by the device, the original mask according to the region convolution feature information; and
in response to the updated original mask satisfying an error convergence condition, determining, by the device, a target image region of a target object in the target image according to the updated original mask,
wherein the target object is a lesion object; the target image is a biological tissue image; and the target image region is a lesion image region.
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