Bone scanning image hotspot segmentation method and system, medium and equipment
A bone scan and image technology, applied in bone scan image hotspot segmentation, bone scan image hotspot segmentation based on conditional generative confrontation network and multi-instance learning, to achieve good segmentation accuracy
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[0028] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to protection domain of the present invention.
[0029] like Figure 1-7 As shown, a bone scan image hotspot segmentation method according to the present invention includes: Step S1: using the pix2pix model in CGAN to divide the bone scan image into 4 regions according to the knowledge of human anatomy, thereby obtaining a 4-dimensional position Feature vector; step S2: combine 4-dimensional position feature, 33-dimensional texture feature, and 1-dimensional neighborhood contrast feature into artificial features of bone scan image; step S3: use CGAN to d...
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