Endoscopic Lesion Candidate Display Based on Model Suitability
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Solution Overview
Problem
Existing endoscopic systems lack the ability to reliably display detection results of lesion areas considering the suitability of the detection model used, leading to inconsistent and potentially unreliable identification of attention areas.
Innovation Solution
An image processing device that evaluates the suitability of detection models for identifying attention areas in endoscopic images and displays candidate area information based on the evaluation results, using a display mode determined by the model's reliability, superimposing the information onto the captured image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a learned 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 clear indication to users
Solution Approach 1:
The system introduces feedback by evaluating the suitability of detection models and using this evaluation information to determine display modes. The display control means provides feedback to the user about the reliability of detection results by adjusting the display mode based on model suitability evaluation, thereby resolving the contradiction between providing detection capability and maintaining reliable results.
2Reliability
If multiple detection models are used to improve detection reliability, then detection accuracy may improve, but the complexity of the system increases
Solution Approach 1:
The system dynamically selects and adjusts the display mode based on the evaluation of detection model suitability. Instead of using a fixed complex multi-model system, the display control means dynamically adapts the display mode to reflect the current model's suitability, thereby improving reliability without permanently increasing system complexity.
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.