Prioritized Candidate Lesion Display for Diagnostic Interface
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Solution Overview
Problem
Current computer-aided diagnosis (CAD) systems do not achieve 100% accuracy, requiring users to manually analyze and modify diagnostic results, which is time-consuming due to limitations in evaluating multiple images of abnormal regions from different angles.
Innovation Solution
An apparatus and method that includes an analyzing unit to detect lesion areas, generate candidate lesion areas, and an interface unit to prioritize and display these areas based on user selection patterns, allowing for efficient evaluation and modification of diagnostic results through a user-friendly interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually analyze and modify diagnostic results from CAD systems, then diagnostic accuracy can be improved, but the time required for evaluation increases significantly
Solution Approach 1:
The patent segments the lesion area into multiple candidate lesion areas with different priorities. Instead of requiring users to evaluate all possible regions, the system divides the detection results into prioritized segments, allowing users to focus on the most relevant candidates first. This segmentation reduces evaluation time while maintaining diagnostic accuracy by presenting information in a structured, prioritized manner.
Solution Approach 2:
The system performs preliminary sorting and prioritization of candidate lesion areas before presenting them to the user. By pre-ranking the candidates based on their likelihood of being the correct diagnosis, the system prepares the information in advance, reducing the cognitive load and time required for user evaluation while maintaining high diagnostic accuracy.
2Measurement precision
If users evaluate multiple images of abnormal regions from different angles, then diagnostic accuracy improves, but the complexity of the user interface and operation increases
Solution Approach 1:
The patent extracts and presents only the essential information about candidate lesion areas through a simplified interface. Instead of requiring users to navigate complex multi-angle image views, the system extracts key diagnostic features and presents them in an organized manner, reducing interface complexity while maintaining the ability to achieve accurate diagnoses.
Solution Approach 2:
The system creates a simplified representation or copy of the complex image data in the form of prioritized candidate lesion area summaries. This copying approach allows users to access diagnostic information through a simpler interface while still maintaining access to the full detailed images when needed, thus reducing operational complexity without sacrificing diagnostic accuracy.
Data Source
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AI summary
There are provided an apparatus and method for diagnosis using a medical image. The apparatus includes: an analyzing unit configured to detect a lesion area, and generate a group of candidate lesion areas with respect to the detected lesion area; and an interface unit configured to arrange one or more candidate lesion areas selected among the group of candidate lesion areas with information about each of the one or more selected candidate lesion areas in a first region of an interface.