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Bone scan image hot spot segmentation method, system, medium and device

A bone scan and image technology, applied in the field of bone scan image hot spot segmentation, bone scan image hot spot segmentation based on conditional generative adversarial network and multi-example learning, to achieve the effect of good segmentation accuracy

Active Publication Date: 2022-07-15
SHANGHAI JIAOTONG UNIV
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There is still room for improvement in the effect of bone scan image processing in this patent

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  • Bone scan image hot spot segmentation method, system, medium and device
  • Bone scan image hot spot segmentation method, system, medium and device
  • Bone scan image hot spot segmentation method, system, medium and device

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[0028] The present invention will be described in detail below with reference to 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, for those skilled in the art, several changes and improvements can be made without departing from the inventive concept. These all belong to the protection scope of the present invention.

[0029] like Figure 1-7 As shown in the figure, a method for hot spot segmentation of a bone scan image provided by 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, so as to obtain a 4-dimensional position feature vector; Step S2: combine 4-dimensional position features, 33-dimensional texture features, and 1-dimensional neighborhood contrast features into artificial features of the bone scan image;...

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Abstract

The present invention provides a method, system, medium and device for hot spot segmentation of bone scan images, including: step S1: obtaining a 4-dimensional position feature vector; step S2: dividing 4-dimensional position features, 33-dimensional texture features, 1-dimensional The neighborhood contrast features are combined into artificial features of the bone scan image; Step S3: construct a 38-dimensional feature; Step S4: use MIL to train a small block-level classifier to obtain the probability distribution map of hot spots, and obtain the sum of the Segment the initial contours that are similar to the target; Step S5 : use the level set evolution to obtain the hot spot segmentation result of the bone scan image, and obtain the information of the hot spot segmentation result of the bone scan image. The present invention can use CGAN to obtain position features, and combine position features, texture features and contrast features into artificial features of bone scan images.

Description

technical field [0001] The present invention relates to the field of medical image segmentation, in particular, to a method, system, medium and device for hot spot segmentation of bone scan images, especially a method for hot spot segmentation of bone scan images based on conditional generative adversarial network and multi-example learning. Background technique [0002] Hot spot segmentation of bone scan images is an indispensable method for clinical diagnosis of tumors and related skeletal diseases caused by them. At the time of detection, the tumor was much brighter than other areas in the image and was referred to as a "hot spot" in the study. In recent years, with the advancement of computer technology, the research on hot spot segmentation of bone scan images has made great progress. [0003] In 2004, Yin et al. used local maxima to segment potential hot spots; in 2007, Huang et al. segmented the bone scan image into 23 human body regions, and then established a linea...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T7/136G06N3/04G06N3/08
CPCG06T7/11G06T7/136G06N3/08G06T2207/20024G06T2207/20081G06T2207/20084G06T2207/30008G06N3/044
Inventor 乔宇徐航
Owner SHANGHAI JIAOTONG UNIV
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