retina OCT volume data identification method and device

The embodiment of the invention provides a retina OCT volume data identification method and device, and the method comprises the steps: obtaining a to-be-identified image, carrying out the processingof the to-be-identified image, obtaining a target to-be-identified image, and enabling the target to-be-identified image to be a plurality of two-dimensional slice images of retina OCT volume data; Identifying the target to-be-identified image according to the target convolutional neural network to obtain an identification result of the target to-be-identified image; And according to the identification result of each target to-be-identified image of the to-be-identified image, giving an identification result of the to-be-identified image. According to the embodiment of the invention, a self-supervised iterative learning method is utilized, an initial tag and a training sample are firstly utilized to train a convolutional neural network, then training sample images are reclassified, and a clustering method or a thr