Overlapped chromosome segmentation network based on multi-scale feature extraction
A chromosome and multi-scale technology, applied in biological neural network models, image analysis, image data processing, etc., can solve problems such as insufficient semantic features, difficulty in analyzing overlapping chromosome images, and different sizes, and achieve stable data generalization capabilities , Improve the overall segmentation effect, the effect of high-precision segmentation
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[0036] Specific implementation plan
[0037] The following describes the present invention in further detail with reference to the drawings and specific embodiments:
[0038] Step 1. Perform data amplification on overlapping chromosome images;
[0039] 1a) Amplify the size of overlapping chromosome images to a size of 128×128;
[0040] 1b) Generate pixel-level category label images of corresponding sizes, such as Figure 5 Shown. Among them, (a) is the chromosome α with β Overlapping composite images, (b)-(e) are their corresponding category label images, and the light-colored areas in (b) and (c) correspond to chromosomes respectively α with β The non-overlapping area of, (d) corresponds to the overlapping area, (e) corresponds to the background area;
[0041] Step 2, build SSPM module, such as figure 2 Shown
[0042] 2a) Unify the step size of each pooling layer, all set to 2;
[0043] 2b) Considering that the size of the feature map at the bottom of the network is 4×4, the pooling s...
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