18466830. INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM simplified abstract (FUJIFILM Corporation)
Contents
- 1 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
Organization Name
Inventor(s)
Akimichi Ichinose of Tokyo (JP)
INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18466830 titled 'INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
Simplified Explanation
The information processing apparatus described in the patent application is designed to analyze medical images containing multiple lesion regions, extract first findings information for each lesion region, and then generate second findings information for specific lesion regions based on a combination of the initial findings.
- The processor acquires a medical image with multiple lesion regions.
- It specifies first findings information for each lesion region.
- Based on a combination of the first findings information, the processor generates second findings information for selected lesion regions.
Potential Applications
This technology could be applied in medical imaging analysis software to assist healthcare professionals in diagnosing and monitoring various medical conditions.
Problems Solved
This technology helps streamline the analysis of medical images by automatically extracting and combining findings information, potentially reducing the time and effort required for manual interpretation.
Benefits
- Improved efficiency in analyzing medical images - Enhanced accuracy in identifying and characterizing lesion regions - Potential for quicker diagnosis and treatment planning
Potential Commercial Applications
"Enhancing Medical Image Analysis Efficiency with Automated Findings Extraction and Combination"
Possible Prior Art
There may be existing technologies or methods that focus on automated analysis of medical images for lesion detection and characterization. However, the specific approach of combining multiple pieces of findings information to generate second findings for selected lesion regions may be a novel aspect of this patent application.
What are the potential limitations of this technology in real-world applications?
One potential limitation of this technology in real-world applications could be the accuracy and reliability of the automated findings extraction and combination process. If the system generates inaccurate or misleading second findings based on the initial information, it could lead to incorrect diagnoses or treatment decisions.
How does this technology compare to existing methods of medical image analysis?
This technology appears to offer a more comprehensive and integrated approach to analyzing medical images by considering multiple pieces of findings information for each lesion region. Existing methods may focus on individual aspects of lesion detection and characterization, whereas this technology aims to combine various findings to provide a more holistic assessment.
Original Abstract Submitted
An information processing apparatus comprising at least one processor, wherein the processor is configured to: acquire a medical image including a plurality of lesion regions; specify a plurality of pieces of first findings information for each of the plurality of lesion regions; and specify second findings information for at least one lesion region among the plurality of lesion regions based on a combination of the plurality of pieces of first findings information.
