HTC had six patents in artificial intelligence during Q4 2023. HTC Corp filed patents for a medical image processing method and a medical image detection system in Q4 2023. The image processing method involves obtaining images of a patient under different conditions, calculating a transformation function, and converting labels between images. The detection system includes a neural network model with a feature extractor, feature pyramid network, and output heads for global and local predictions, aimed at generating output information based on medical images. GlobalData’s report on HTC gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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HTC grant share with artificial intelligence as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and system for generating label of medical image (Patent ID: US20230326023A1)
The patent filed by HTC Corp. describes a medical image processing method that involves obtaining two medical images of a patient under different examination conditions, collecting labels marking lesions within the images, calculating a transformation function to align the images, and converting the labels accordingly. The method includes pre-processing images to cancel noise features, capturing images with and without contrast medium, and training a neural network model for prediction labels.
The system outlined in the patent includes a memory to store medical images, an interface to collect labels marking lesions, and a processor to calculate transformation functions, align images, and convert labels. The processor can generate transformed images, calculate similarity scores, update variable parameters, and pre-process images to cancel noise features. Additionally, the system can be used with different examination scanners, allows manual input of labels by medical professionals, and includes a neural network model for generating prediction labels on new medical images.
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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.
