Double centromere distorted chromosome analysis and prediction method based on multi-scale fusion method
A multi-scale fusion and prediction method technology, applied in image analysis, neural learning methods, image enhancement, etc., can solve problems such as poor robustness and poor detection accuracy, achieve fast analysis speed, small error, and improve analysis efficiency.
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[0044] like Figure 1-2 As shown, the network structure of the designed neural network model is mainly composed of three parts: the backbone neural network CSPN, the FPN+PAN feature fusion network and the output prediction end. The backbone neural network CSPN is mainly composed of several CSPs, and the specific backbone neural network CSPN is composed of five cross-stage partial neural network modules (Cross Stage Partial, CSP). CSP module structure such as image 3 As shown, the CSP module is composed of several CBM modules and n-cycle residual units. The CBM module mainly performs convolution operations on the input feature map and then uses the Mish activation function to process the features.
[0045] The invention provides a method for analyzing and predicting dicentric aberration chromosomes based on a multi-scale fusion method. Before performing regression prediction on the dicentric aberration chromosomes, a neural network model is trained. The training steps are as ...
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