Abstract: A method, device and apparatus for differentiating arteries and veins of retinal vessels are provided. The method includes acquiring a vessel extraction image, a fundus image, and optic disc center coordinate; extracting a main vessel according to the vessel extraction image, the fundus image and the optic disc center coordinate to obtain a main vessel image, and intercepting the main vessel based on the main vessel image to obtain multiple single vessel segments; measuring diameters of the multiple single vessel segments to obtain diameter sizes of the multiple single vessel segments, obtaining multiple artery-vein vessel pairs according to the diameter sizes.

Abstract: An information synchronization method, a terminal and a system, which relates to the technical field of communication. The method includes: by the first terminal, sending a controlling request of a target terminal to the controlling server; by the first terminal, receiving a state feedback information sent by the first terminal, according to the state feedback information, updating an information of the first terminal; and by the first terminal, sending the state feedback information to each of the at least one second terminal, so that the second terminal updates an information of the second terminal according to the state feedback information.

Abstract: The present disclosure relates to a method and device for recognizing a fundus image, and equipment. The method includes: obtaining an acquired fundus image, and pre-processing the acquired fundus image; inputting the pre-processed fundus image to a trained optic disc (OD) prediction model, and performing OD prediction on the fundus image by the OD prediction model to obtain a corresponding OD prediction map, where the OD prediction map is marked with one or more located candidate areas of the OD; and obtaining the OD prediction map and performing ellipse fitting to obtain ellipse fitting parameters of the candidate areas of the OD, and determining an OD area in the fundus image based on the number of the candidate areas of the OD and the ellipse fitting parameters.

Abstract: The present disclosure relates to a method and device for recognizing a fundus image, and equipment. The method includes: obtaining an acquired fundus image, and pre-processing the acquired fundus image; inputting the pre-processed fundus image to a trained optic disc (OD) prediction model, and performing OD prediction on the fundus image by the OD prediction model to obtain a corresponding OD prediction map, where the OD prediction map is marked with one or more located candidate areas of the OD; and obtaining the OD prediction map and performing ellipse fitting to obtain ellipse fitting parameters of the candidate areas of the OD, and determining an OD area in the fundus image based on the number of the candidate areas of the OD and the ellipse fitting parameters.