Acer has been granted a patent for an image processing system that utilizes an ophthalmoscope device and a processor to analyze color fundus images. The system generates blood vessel segmentation images, processes them through a convolutional neural network, and provides fundus image analysis information based on the cup-to-disc ratio and other factors. GlobalData’s report on Acer gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Acer, Device power optimization was a key innovation area identified from patents. Acer's grant share as of January 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Image processing system for fundus image analysis using neural network

Source: United States Patent and Trademark Office (USPTO). Credit: Acer Inc

A recently granted patent (Publication Number: US11887299B2) discloses an innovative image processing system designed for ophthalmic applications. The system comprises an ophthalmoscope device that captures a color fundus image, which is then processed by a specialized processor. This processor utilizes a computer vision algorithm or deep learning model to generate a blood vessel segmentation image corresponding to the fundus image. By overlapping the color fundus image and the segmentation image, an initial input image is obtained and fed into a convolutional neural network. The network outputs a value representing the probability of an optic nerve defect, allowing the processor to generate fundus image analysis information based on the cup-to-disc ratio and the calculated value.

Furthermore, the system includes features such as determining the abnormality of the color fundus image based on a threshold value, locating and analyzing the optic disc and cup images using deep learning segmentation networks, and performing polar coordinate conversions for enhanced analysis. The method also involves selecting the thickest blood vessel image to determine the optic disc's long axis and utilizing an ellipse fitting algorithm for precise cropping of the optic disc and cup images. Overall, this patented image processing system offers a comprehensive approach to analyzing fundus images for optic nerve defects, combining advanced technologies like neural networks and deep learning models to enhance diagnostic capabilities in ophthalmology.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.