Canon had 17 patents in big data during Q2 2024. Canon Inc filed patents related to medical information processing, controlling a computing hardware accelerator in a movable camera, generating maps for autonomous movable apparatus, medical learning apparatus for causal relationship inference, and a nuclear medicine diagnosis apparatus for photon number information analysis. These patents focus on improving technology in the medical and imaging fields. GlobalData’s report on Canon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Canon had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Medical information processing apparatus and method (Patent ID: US20240170150A1)
The patent filed by Canon Inc. describes a medical information processing apparatus that acquires training samples with feature amounts, type labels, and effect labels, then assigns knowledge labels based on an independent knowledge base. The apparatus trains a model to infer the effect of each type of event, incorporating the knowledge label into the training samples. The model is trained through multi-task training, estimating both the knowledge label and effect value, and includes loss functions to reduce errors in estimation.
Additionally, the processing circuitry can generate integrated labels combining type and knowledge labels, train the model based on artificial samples without type labels, and infer the effect of events on a target subject. The apparatus can display the effect values and recommended event types, including unknown labels. The method and apparatus aim to improve medical information processing by incorporating knowledge labels, training models effectively, and inferring event effects accurately based on subject conditions.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
