17815184. INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, INFORMATION TERMINAL, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM simplified abstract (CANON KABUSHIKI KAISHA)
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, INFORMATION TERMINAL, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Organization Name
Inventor(s)
Yoshinori Hirano of Chiba (JP)
INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, INFORMATION TERMINAL, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17815184 titled 'INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, INFORMATION TERMINAL, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM
Simplified Explanation
The patent application describes an information processing system that involves an information terminal and multiple information processing apparatuses.
- The information terminal acquires medical image data from a medical image capturing apparatus.
- The information processing apparatuses have an inference unit that uses a learned model to make inferences about the medical image data.
- A selection unit is used to choose at least one information processing apparatus from the available options.
- The selected information processing apparatus receives the medical image data from the information terminal.
- The selected information processing apparatus makes inferences about the received medical image data and sends the results back to the information terminal.
Potential applications of this technology:
- Medical diagnosis and analysis: The system can be used to assist healthcare professionals in analyzing medical images and making accurate diagnoses.
- Research and development: The system can aid in the development of new medical imaging techniques and algorithms by providing insights and analysis of medical image data.
Problems solved by this technology:
- Efficient processing: By distributing the processing load among multiple information processing apparatuses, the system can handle large amounts of medical image data more efficiently.
- Improved accuracy: The use of a learned model and inference unit can enhance the accuracy of medical image analysis, leading to more reliable diagnoses.
Benefits of this technology:
- Faster diagnosis: The system enables quicker analysis of medical image data, allowing for faster diagnosis and treatment decisions.
- Enhanced accuracy: The use of a learned model and inference unit improves the accuracy of medical image analysis, reducing the risk of misdiagnosis.
- Scalability: The system can easily scale up to handle larger volumes of medical image data by adding more information processing apparatuses.
Original Abstract Submitted
An information processing system includes an information terminal configured to acquire medical image data from a medical image capturing apparatus, a plurality of information processing apparatuses each including an inference unit configured to make an inference about the medical image data by using a learned model, and a selection unit configured to select at least one information processing apparatus from the plurality of information processing apparatuses. The information terminal transmits the medical image data to the information processing apparatus selected by the selection unit, and the information processing apparatus selected by the selection unit makes an inference about the transmitted medical image data and transmits an inference result to the information terminal.
