Endoscope Lesion Detection Comparison on a Time Axis
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Solution Overview
Problem
Existing systems fail to easily recognize discrepancies between user detection and automatic detection results of lesions in endoscope images, with a lack of comparison between the two detection methods.
Innovation Solution
An information processing device that acquires and plots the capturing times of lesion images detected by both user instruction and automatic detection processing on a time axis for easy comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic detection processing is performed on endoscope images, then detection capability is improved, but discrepancy recognition between user detection and automatic detection becomes difficult
Solution Approach 1:
The patent introduces a time dimension by plotting capturing times on a time axis, transforming the comparison from a static state to a dynamic temporal representation. This allows discrepancies between user-detected lesions and automatically detected lesions to be visualized along the time dimension, making it easier to identify when and where detection differences occur during the examination process.
Solution Approach 2:
The patent uses simple graphical markers (first markers for user detections, second markers for automatic detections) that can be quickly plotted and discarded after comparison. These markers serve as temporary visual aids on the time axis without requiring complex analysis structures, enabling rapid discrepancy identification while maintaining system efficiency.
2Productivity
If only automatic extraction of bleeding sites is performed, then processing efficiency is improved, but comparison with user detection results is lost
Solution Approach 1:
The system provides feedback by visually comparing automatic detection results with user detection results through markers on a time axis. This feedback mechanism allows operators to verify automatic detection accuracy, identify false positives or false negatives, and improve overall detection reliability while maintaining processing efficiency through automated initial detection.
Solution Approach 2:
The time axis with plotted markers serves as an intermediary representation that bridges automatic detection results and user detection results. Instead of directly comparing complex image data or detection algorithms, the system uses this intermediate temporal visualization to facilitate easy comparison and discrepancy identification between the two detection approaches.
Data Source
AI summary
An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.