Endoscopic Candidate Area Display Based on Detection Model Suitability
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Solution Overview
Problem
Existing endoscopic systems do not adequately consider the suitability of detection models when displaying detection results, leading to unreliable lesion area identification.
Innovation Solution
An image processing device that evaluates the suitability of detection models and displays candidate areas based on the evaluation results, using a display mode determined by the model's reliability, superimposing the information on the captured image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a detection model is used to detect lesion areas from endoscopic images, then detection capability is provided, but the reliability of detection results varies depending on model suitability without proper evaluation
Solution Approach 1:
The system performs preliminary evaluation of detection model suitability before actual lesion detection. The evaluation unit assesses whether the detection model is appropriate for the current endoscopic image characteristics, and only selects models that meet predetermined standards, ensuring reliable detection results from the outset.
Solution Approach 2:
The invention introduces an evaluation unit as an intermediary between the endoscopic image input and the detection model selection. This evaluation unit acts as a mediator that assesses model suitability and determines the appropriate detection model to use, separating the evaluation function from the detection function to improve overall system reliability.
2Adaptability or versatility
If multiple detection models are used to detect different candidate areas, then detection coverage is improved, but it becomes difficult to determine which model's results to display
Solution Approach 1:
The system implements feedback mechanisms where the evaluation unit continuously assesses the suitability of each detection model based on the current image characteristics. The display control unit uses this evaluation feedback to selectively present results from only those models deemed appropriate, providing clear guidance to users on which detection results to trust.
Solution Approach 2:
The invention applies different detection models to different local characteristics of the endoscopic image. The evaluation unit determines which models are suitable for specific image regions or characteristics, and the display control unit presents results accordingly, allowing each model to operate in its optimal domain while maintaining overall system simplicity.
Data Source
AI summary
The image processing device 1X includes a detection model evaluation means 31X and a display control means 33X. The detection model evaluation means 31X is configured to perform an evaluation on suitability of a detection model for detecting an attention area to be noted based on a captured image Ic in which an inspection target is photographed by a photographing unit provided in an endoscope. The display control means 33X is configured to display candidate area information according to a display mode determined based on a result of the evaluation, the candidate area information indicating one or more candidate areas that are one or more candidates of the attention area, the candidate areas being detected by one or more detection models included in detection model(s) subjected to the evaluation, the candidate area information being superimposed on the captured image Ic which is displayed by a display device 2X.