Similar Image Display Control for Diagnostic Index Association
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Solution Overview
Problem
In dermatology, diagnosing skin diseases is challenging due to the need for expertise, and existing image analysis techniques struggle to effectively display and classify similar images to support benign or malignant disease diagnosis.
Innovation Solution
A processor-based apparatus that acquires similar images, classifies them into categories, determines coordinates for each category based on attributes, and displays them in a manner that highlights their similarity to a query image, along with malignant and disease attribute indices, to facilitate intuitive understanding and diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If similar images are displayed without classification and spatial organization, then the display is simple, but the ease of understanding image relationships and disease attributes deteriorates
Solution Approach 1:
The patent segments similar images into multiple category regions based on disease attributes (e.g., benign/malignant, different disease types). Each category region is spatially separated and labeled, allowing users to systematically explore different aspects of the disease spectrum rather than viewing all images as a single undifferentiated group.
Solution Approach 2:
The patent introduces spatial dimensions (2D or 3D space) to organize category regions according to multiple disease attributes simultaneously. This dimensional transformation allows the display to represent complex multi-attribute relationships in an intuitive visual format, enabling users to grasp disease characteristics across different dimensions without overwhelming complexity.
2Loss of information
If multiple disease attributes are displayed separately, then the information is complete, but the ease of understanding the relationship between attributes deteriorates
Solution Approach 1:
The patent maps multiple disease attributes onto spatial dimensions, creating a multi-dimensional attribute space where each axis represents a different attribute (e.g., malignancy, disease type, severity). This spatial representation allows users to visually perceive relationships between attributes and understand how different disease characteristics correlate, maintaining information completeness while enhancing comprehensibility.
Solution Approach 2:
The patent combines multiple disease attribute displays into an integrated spatial framework where category regions are positioned according to their attribute profiles. This merging approach presents comprehensive attribute information in a unified visual structure rather than separate isolated displays, enabling users to grasp relationships between attributes through spatial proximity and arrangement.
3Ease of operation
If similar images are classified into multiple categories with spatial positioning, then the ease of understanding image relationships improves, but the device complexity increases
Solution Approach 1:
The patent segments the display into multiple category regions and segments the classification process into distinct steps (attribute extraction, category assignment, spatial positioning). This segmentation makes the complex system more manageable by breaking it into modular components that can be independently implemented and controlled.
Solution Approach 2:
The patent uses spatial dimensions to encode classification information, transforming complex multi-attribute classification data into intuitive spatial positions. This dimensional transformation simplifies the user interface by representing complex classification relationships through straightforward spatial arrangements that users can easily interpret.
4Reliability
If benign and malignant disease images are displayed together without distinction, then the display is compact, but the reliability of diagnostic support deteriorates
Solution Approach 1:
The patent segments the display into distinct benign and malignant category regions, creating clear visual separation between different disease outcomes. This segmentation ensures that benign and malignant images are not confused, thereby enhancing diagnostic reliability while using display space efficiently through targeted regionalization rather than scattered placement.
Solution Approach 2:
The patent applies different visual qualities and positioning strategies to different disease categories within the display. Benign and malignant regions are given distinct spatial locations, visual characteristics, and organizational patterns, allowing users to quickly identify and differentiate between disease types based on their local visual properties rather than requiring uniform treatment across the entire display.
Data Source
AI summary
A display control apparatus includesan inputter for allowing a user to input a query image to initiate a diagnostic process,a processor configured toinput the query image into a disease identifier for generating a plurality of indexes,acquire a malignant index of the plurality of indexes representing a possibility that an attribute of a disease of a diagnosis target area is malignant and a first disease attribute index of the plurality of indexes representing a possibility that an attribute of the disease of the diagnosis target area is a prescribed first disease attribute, andcause the acquired malignant index and the acquired first disease attribute index to be displayed in association with each other on a display.