Fujifilm had five patents in big data during Q2 2024. Fujifilm Holdings Corp filed patents for a medical image processing device that estimates temporal information in images, a device for determining the execution order of tasks, and a data creation apparatus that selects image data for training data based on accessory information recorded in the images. These inventions aim to improve image analysis, task management, and machine learning processes. GlobalData’s report on Fujifilm gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Fujifilm had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Medical image processing device, medical image processing method, and program (Patent ID: US20240193777A1)
The patent filed by Fujifilm Holdings Corp. describes a medical image processing device, method, and program that can estimate temporal information in an image, particularly in cases where using attached information is challenging. The device includes processors and memory storing a program to receive contrast images and estimate the elapsed period from the start of contrast agent injection based on image analysis. The device can determine the contrast state of the image and receive various types of images for processing, estimating the elapsed period using a trained regression model.
Furthermore, the device can receive multiple images from the same series, estimate elapsed periods for each, and integrate them to determine the overall elapsed period. This integration involves estimating values and certainties, converting them into probability distributions, and ultimately specifying a final estimated value. The patent also details the use of different probability distribution models such as Laplace or Gaussian distributions, as well as logarithmic conversions to optimize the estimation process. Additionally, the regression model used in the device involves machine learning and convolutional neural networks for accurate estimation. Overall, the patent outlines a comprehensive method and system for estimating temporal information in medical images, even without direct image-attached information.
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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.
