Medical Image Processing With CNN Site Recognition and Capture Feedback
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Solution Overview
Problem
Capturing desired medical images with an endoscope system is challenging, especially for inexperienced users, and determining if appropriate images are obtained is difficult.
Innovation Solution
A medical image processing apparatus that includes a processor for determining the presence of specific imaging target sites in a medical image and displaying a notification indicator when the image meets predefined criteria, using a convolutional neural network for site recognition and multiple determination processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual imaging according to defined conditions is performed, then imaging can be conducted with flexibility, but it becomes very difficult for inexperienced users to capture desired medical images and determine if appropriate images are obtained
Solution Approach 1:
The system performs self-evaluation by automatically determining whether captured medical images satisfy predefined criteria through image processing. The processor automatically analyzes images and generates determination results without requiring user judgment, enabling the system to serve itself in evaluating image quality.
Solution Approach 2:
The system provides automatic feedback to users by displaying determination results that indicate whether captured images meet the required criteria. This feedback mechanism guides users in capturing appropriate images by immediately showing whether their efforts were successful, improving both ease of operation and measurement precision.
2Reliability
If multiple imaging target sites are evaluated with different determination criteria, then image quality can be ensured for each site, but the complexity of the determination process increases
Solution Approach 1:
The determination process is segmented into site-specific evaluation modules, where each imaging target site has its own determination criteria and evaluation logic. This segmentation allows complex multi-site evaluation to be broken down into manageable, independent units that can be processed systematically.
Solution Approach 2:
Different determination criteria are applied to different imaging target sites according to their specific requirements. Each site receives localized evaluation tailored to its anatomical and diagnostic characteristics, ensuring reliable image quality assessment for each site while maintaining overall system manageability.
Data Source
AI summary
A medical image processing apparatus includes a processor configured to perform: a first determination process of determining, based on an acquired medical image, whether any of a plurality of imaging target sites is included in the medical image; a second determination process of determining, if it is determined in the first determination process that any of the plurality of imaging target sites is included in the medical image, whether the medical image is an image satisfying a determination criterion of a site included in the medical image; and a display control process of displaying, if it is determined in the second determination process that the medical image is the image satisfying the determination criterion of the site included in the medical image, a notification indicator on a display unit, the notification indicator indicating that the image satisfying the determination criterion of the site included in the medical image is captured.