Endoscopic Image Feedback Control for Low-Confidence ROI Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image diagnosis support systems for endoscopic imaging do not effectively improve low estimated probability values, requiring user intervention to adjust settings manually, which increases the user's workload and reduces diagnostic efficiency.
Innovation Solution
A processing system that automatically detects regions of interest in endoscopic images, calculates estimated probability information, and identifies control information to enhance the probability by adjusting endoscope settings such as light source and imaging conditions, thereby improving the accuracy of lesion detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system automatically adjusts image capture settings to improve detection probability, then the reliability of detected regions is improved, but the device complexity increases
Solution Approach 1:
The system performs self-adjustment of imaging parameters by automatically analyzing detection probability and controlling the endoscope apparatus to capture new images when detection reliability is insufficient, eliminating the need for manual user adjustment and reducing operational complexity
Solution Approach 2:
The system establishes a feedback loop where detection probability is continuously evaluated and used to automatically control subsequent imaging actions, creating a closed-loop system that improves reliability through iterative optimization without requiring complex manual intervention
2Productivity
If the system performs automated analysis and adjustment of imaging parameters, then the productivity of diagnosis is improved, but the use of energy increases
Solution Approach 1:
The system performs automated parameter adjustment only when detection probability falls below a threshold, rather than continuously optimizing all parameters at all times, reducing energy consumption while maintaining diagnostic productivity through selective intervention
3Ease of operation
If the system provides detailed control information for improving detection probability, then the ease of operation is improved, but the loss of information increases due to additional processing
Solution Approach 1:
The system extracts and provides only the essential control information needed for improvement (such as specific parameter adjustments and timing) rather than transmitting all raw data and processing details, reducing information loss while maintaining ease of operation through targeted information delivery
Data Source
AI summary
A processing system includes a processor with hardware. The processor is configured to perform processing of acquiring a detection target image captured by an endoscope apparatus, controlling the endoscope apparatus based on control information, detecting a region of interest included in the detection target image based on the detection target image for calculating estimated probability information representing a probability of the detected region of interest, identifying the control information for improving the estimated probability information related to the region of interest within the detection target image based on the detection target image, and controlling the endoscope apparatus based on the identified control information.