The present application relates to the field of medical
image processing, and particularly relates to an end-to-end
ophthalmic surgery positioning navigation method and device. First, a coding and decoding network is used to extract eyeball features, and a multi-class segmentation layer constructed according to the eyeball features is used for semantic segmentation to determine the center position of the eyeball, so as to construct a polar coordinate sampler, so that the real-time collected intraoperative image is directly projected under the polar coordinate, and the eyeball feature map, the semantic segmentation result map and the preoperative image are converted to the polar coordinate
system. Under the polar coordinate
system, the current image and the target image are registered to complete eyeball rotation tracking. In the registration process, a twin network is combined with a
correlation filter, the tracking target position, number and
receptive field size are defined by defining a
Gaussian template, the calculation efficiency is improved, the weighted sum of the inter-frame registration result and the long-time registration result is taken as the final rotation amount, the cumulative error is eliminated, and the stability and registration accuracy of the eyeball rotation continuous registration are improved.