MRI spine image intervertebral disc scanning positioning and vertebra identification method based on deep learning
A technology of scanning positioning and deep learning, which is applied in the field of MRI spine image scanning positioning and vertebral identification based on deep learning, can solve the problems of time-consuming vertebral labeling, misdiagnosis, and long time consumption, so as to reduce operation steps and time, reduce The effect of reducing workload and work fatigue
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[0047] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.
[0048] A deep learning-based MRI spine image intervertebral disc scanning positioning and vertebral identification method, comprising the following steps:
[0049] Step s1: Semantically segment the pre-prepared MRI spine images using a convolutional neural network model.
[0050] In step s1, the convolutional neural network model is a DUnet model, and the output of the DUnet model is a matrix, the matrix is the same size as the MRI spine image, and the matrix is a Mask image.
[0051] The DUnet model includes a 4-layer Encoder module, a 1-layer hole convolution module and a 2-layer Decoder module. The Encoder module includes 2 layers of 3x3 convolutions. The Encoder module is activated using the Leaky Relu function and normalized using BatchNormalization; t...
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