Newborn brain image segmentation method and model construction method based on deep learning
A technology of deep learning and image segmentation, which is applied in neural learning methods, image analysis, biological neural network models, etc., can solve the problem of poor segmentation effect of multi-segmentation tasks, and achieve the effect of improving accuracy and improving accuracy
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[0050] This embodiment provides a newborn brain image segmentation method and model construction method based on deep learning, such as figure 1 As shown, the method includes the following steps:
[0051] Step 1. Obtain the data set of neonatal brain magnetic resonance images, and perform the first preprocessing on the dual-mode neonatal brain magnetic resonance images and reference images in the data set to obtain two-dimensional dual-mode magnetic resonance images and two-dimensional magnetic resonance images of the same size. dimensional base image;
[0052] The dataset includes bimodal neonatal brain MRI images and reference images;
[0053] In this embodiment, a group such as Figure 7 (a) and Figure 7 (c) The T1 modality magnetic resonance image and the T2 modality magnetic resonance image shown in (c); After standardized preprocessing, the output is as follows Figure 7 (b) T1 modal MRI images after normalization preprocessing and Figure 7 (d) T2 modality MR imag...
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