Radiomics-based brain glioma grading prediction method
A technology of glioma and radiomics, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of uncertain metastasis location, unfavorable treatment plan and grading prediction of glioma grade, glioma Unclear organizational boundaries and other issues to achieve the effect of alleviating pain and reducing errors
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[0021] The technical solutions of the present invention will be described in further detail below through specific implementation methods.
[0022] Such as figure 1 As shown, a radiomics-based glioma grade prediction method includes the following steps:
[0023] Step 1: Acquire the original medical image of glioma by conventional magnetic resonance imaging method, and unify the image format and size of the collected original medical image and deprivate the data to obtain the medical image sample of glioma Group;
[0024] Wherein, the conventional magnetic resonance imaging method includes one or more combinations of T1-weighted imaging, T2-weighted imaging, fluid-attenuated inversion recovery (FLAIR) imaging or enhanced T1-weighted imaging;
[0025] Step 2, select one of the glioma medical image samples, and manually segment the ROI in the glioma medical image sample; specifically, the ROI segmentation results must be confirmed by two radiologists. If they are different, tw...
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