Endoscopic Image Processing Adapting Detection Criteria to Organ State
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Solution Overview
Problem
Existing endoscopic image processing techniques require individual detection criteria for color tone changes in elevated regions, making it difficult to accurately detect regions of interest across varying states of organs, such as those affected by Helicobacter pylori infection, leading to inappropriate detection of lesions.
Innovation Solution
An endoscopic image processing device that recognizes the state of an organ and adjusts the detection criterion based on the recognition result, using trained models to detect regions of interest by switching between different detectors or adjusting threshold values depending on the organ's state, allowing for appropriate detection regardless of the organ's condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual detection criteria are set for each elevated change region based on color tone changes, then detection accuracy for specific regions may improve, but the complexity of the detection system increases and it becomes difficult to handle varying organ states
Solution Approach 1:
The patent applies universality by creating a single detection system that can handle multiple organ states (normal, atrophic, inflamed) through automatic recognition. The detection criterion setting unit automatically selects appropriate criteria based on the recognized organ state, eliminating the need for manual individual configuration while maintaining high detection accuracy across different conditions.
Solution Approach 2:
The patent changes the parameter of detection criteria dynamically based on the recognized organ state. Different detection criteria are prepared for different organ states (normal, atrophic, inflamed), and the system automatically switches between them based on recognition results, allowing accurate detection without increasing operational complexity.
2Reliability
If detection criteria are adjusted for different organ states, then detection accuracy across varying conditions improves, but the number of detection criteria and system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-preparing multiple detection criteria for different organ states (normal, atrophic, inflamed) and storing them in advance. The recognition unit identifies the current organ state and automatically selects the appropriate pre-prepared criterion, ensuring reliable detection without requiring complex real-time adjustments or manual intervention.
3Ease of operation
If a single detection criterion is used for all organ states, then the system remains simple and easy to operate, but detection accuracy decreases for organs in abnormal states
Solution Approach 1:
The patent applies self-service by enabling the detection system to automatically recognize the organ state and select the appropriate detection criterion without user intervention. The recognition unit and criterion setting unit work autonomously to match the current organ state with the most suitable detection criterion, maintaining system simplicity while achieving high detection accuracy for both normal and abnormal states.
Data Source
AI summary
There are provided an endoscopic image processing device, an endoscopic image processing method, and an endoscope system that can appropriately detect a region of interest from an endoscopic image. An endoscopic image processing device that processes an endoscopic image acquires the endoscopic image, recognizes a state of an organ as an examination target from the acquired endoscopic image, sets a detection criterion for a region of interest according to a recognition result of the state of the organ, and detects the region of interest from the endoscopic image on the basis of the set detection criterion.