3D medical image segmentation method, device and storage medium based on layered perceptual fusion
A medical image and 3D technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems that a single model cannot make full use of prediction, inaccurate, etc., and achieve the effect of efficient and accurate 3D medical image segmentation
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[0082] Figure 5 It is a flow chart of 3D medical image segmentation based on layered perceptual fusion in an embodiment of the present invention. In an embodiment of the present invention, a 3D medical image segmentation method based on layered perceptual fusion includes:
[0083] Step 1, data creation, slicing, and enhancement
[0084] Step 1.1: use marking software to mark the 3D medical image, and divide it into two parts: the target and the background. The target represents the target area, that is, the organ pathological tissue image area, and the background represents the non-organ part. If there are multiple pathological tissues, different pixels can be used to distinguish them, for example, pixel 1 is the tumor tissue, pixel 2 is the periphery of the tumor, and so on.
[0085] Step 1.2, after the marking is completed, check the correctness of the data. For example, use programming to check whether the data distribution of the background and lesion area is backgroun...
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