Image Processing Apparatus for Organ-Specific Abnormality Detection
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Solution Overview
Problem
Medical image interpretation efficiency decreases due to uniform abnormality detection processing across all organs, leading to increased processing time and potential overlooking of abnormalities.
Innovation Solution
An image processing apparatus that derives the degree of attention for each organ based on medical document content, sets execution conditions for abnormality detection processing, and executes processing accordingly, using trained models to prioritize organs with higher attention and adjust detection thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform abnormality detection processing is performed on all organs, then detection completeness is improved, but processing time increases
Solution Approach 1:
The patent applies local quality by differentiating the degree of attention for different organs based on medical document content. Organs with higher attention degrees undergo more rigorous abnormality detection processing, while organs with lower attention degrees undergo simplified processing. This resolves the contradiction by making detection intensity localized rather than uniform, ensuring thorough detection for critical organs while reducing processing time for less critical ones.
Solution Approach 2:
The patent changes the parameter of detection threshold based on the degree of attention for each organ. By dynamically adjusting the detection threshold parameter according to organ importance, the system achieves both high detection completeness for critical organs and reduced processing time for less critical organs, resolving the contradiction between reliability and time loss.
2Reliability
If uniform abnormality detection processing is performed on all organs, then detection completeness is improved, but interpretation efficiency decreases
Solution Approach 1:
The patent applies local quality by differentiating the degree of attention for different organs based on medical document content. Organs with higher attention degrees undergo more rigorous abnormality detection processing, while organs with lower attention degrees undergo simplified processing. This resolves the contradiction by making detection intensity localized rather than uniform, ensuring thorough detection for critical organs while reducing processing time for less critical ones.
Solution Approach 2:
The patent applies partial action by performing abnormality detection processing selectively based on the degree of attention for each organ. Instead of uniformly applying full detection processing to all organs, the system performs partial detection on organs with lower attention degrees and comprehensive detection on organs with higher attention degrees. This optimizes interpretation efficiency while maintaining detection completeness for critical organs.
3Reliability
If uniform abnormality detection processing is performed on all organs, then detection completeness is improved, but the number of presented abnormalities increases
Solution Approach 1:
The patent applies local quality by differentiating the degree of attention for different organs based on medical document content. Organs with higher attention degrees undergo more rigorous abnormality detection processing, while organs with lower attention degrees undergo simplified processing. This resolves the contradiction by making detection intensity localized rather than uniform, ensuring thorough detection for critical organs while reducing processing time for less critical ones.
Solution Approach 2:
The patent applies partial action by performing abnormality detection processing selectively based on the degree of attention for each organ. Instead of uniformly applying full detection processing to all organs, the system performs partial detection on organs with lower attention degrees and comprehensive detection on organs with higher attention degrees. This optimizes interpretation efficiency while maintaining detection completeness for critical organs.
Data Source
AI summary
An image processing apparatus derives a degree of attention for each organ based on a content of a medical document, sets an execution condition of abnormality detection processing on a medical image according to the degree of attention for each organ, and executes the abnormality detection processing in accordance with the set execution condition.


