Abstract: The present application provides a medical image recognition method. The method includes obtaining a fundus image. A feature extraction model is invoked to extract features from the fundus image to obtain a fundus feature map. Once the fundus feature map is input into an attention mechanism model to obtain an attention-weighted feature map, a classification model is invoked to classify the attention-weighted feature map to obtain a target disease label of the fundus image. The present application also provides a method for training a medical image recognition model and an electronic device.

Abstract: A wearable image display device for surgery includes a display unit, a wireless receiver and a processing core. The wireless receiver wirelessly receives a medical image or a medical instrument information in real-time. The processing core is coupled to the wireless receiver and the display unit for displaying the medical image or the medical instrument information on the display unit.