Acer has been granted a patent for a method and apparatus that compensates image segmentation lines in medical images. The technology involves applying segmentation models and convolution operations to predict and connect pixels, improving accuracy in medical image analysis for electronic devices. GlobalData’s report on Acer gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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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 May 2024 was 63%. Grant share is based on the ratio of number of grants to total number of patents.
Image segmentation compensation method for medical images
A recently granted patent (Publication Number: US12002215B2) discloses a method and apparatus for compensating image segmentation lines in electronic devices, particularly in the context of medical imaging. The method involves segmenting a captured medical image using a segmentation model to identify segmentation lines between different layers in the image. A convolution operation is then performed using a trained classification model to predict the position of the next pixel connected to the current pixel in the segmentation line, ultimately forming a compensated segmentation line. The technique also includes detecting and addressing gap sections within the segmentation lines by adjusting the kernel size of the classification model based on the size of the identified gap section.
Furthermore, the patent details the adaptability of the method to different use requirements of medical images by allowing the determination of kernel size and padding size used by the classification model. The apparatus described in the patent includes an image capturing device, a storage device for the computer program, and a processor responsible for executing the segmentation and compensation process. The processor is designed to not only segment the medical image and predict pixel positions but also to detect and address gap sections within the segmentation lines. By calculating the distance between endpoint pixels in the gap section, the apparatus adjusts the length of the kernel in the prediction direction to ensure accurate compensation. Overall, this patent introduces a novel approach to enhancing image segmentation in medical imaging applications, offering potential improvements in accuracy and efficiency in electronic devices equipped with such technology.
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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.
