Nerve transplantation scheme recommendation method and system based on big data

The invention discloses a neural transplantation scheme recommendation method and system based on big data. And acquiring the structure of the nerve graft by adopting the image of the nerve graft in the culture process. And constructing a three-dimensional image by taking three images as the sum. Compared with a two-dimensional image, the three-dimensional image obtains more change conditions of nerve tracts at time points, and obtains more training data for detecting nerve categories. And training the neural student model by using a small part of annotated data through the teacher student model and adopting most of unannotated data in an unsupervised manner. The neural student model takes two modified time convolutional networks as a basis, obtains the features of the neural student model through three-dimensional images, and jointly judges the neural category according to the relationship between the images and the change relationship between the features. The technical effect of accurately selecting the ne