Digital Pathology Platform for Multi-Algorithm Whole-Slide Analysis
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Solution Overview
Problem
Pathologists face burdensome and time-consuming image analysis tasks when working with numerous digital slides on digital pathology platforms due to the need for manual processing of each slide image.
Innovation Solution
A digital pathology platform that integrates multiple algorithms from various vendors to perform simultaneous image analysis on whole slide images, allowing for automatic assignment of algorithms based on set rules, and combines results into a single image for display, enabling flexible configuration and extension of algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual image analysis is performed on each digital slide, then analysis accuracy can be maintained, but the time required and workload increase significantly
Solution Approach 1:
The patent combines multiple algorithms from different vendors into a single integrated analysis system. The platform executes multiple algorithms simultaneously on the same digital slide and merges their results, allowing comprehensive analysis without requiring separate manual review of each algorithm's output, thereby reducing time while maintaining accuracy through multi-algorithm validation
Solution Approach 2:
The digital pathology platform is designed to perform multiple functions: it can execute various types of algorithms (detection, segmentation, classification) from multiple vendors, integrate their results, and present unified analysis outcomes. This multi-functional capability allows the system to handle diverse analysis tasks automatically, reducing the need for manual intervention across different analysis types
2Adaptability or versatility
If multiple algorithms from various vendors are integrated, then analysis capability and versatility improve, but system complexity increases
Solution Approach 1:
The patent introduces a platform-level intermediary layer that manages multiple vendor algorithms. This intermediary handles algorithm selection, execution coordination, and result integration, shielding users from the underlying complexity while providing access to diverse analytical capabilities. The platform acts as a mediator between the user and the complex multi-algorithm ecosystem
Solution Approach 2:
The system segments the analysis process into distinct modules: algorithm selection based on digital slide characteristics, independent execution of multiple algorithms, and result integration. Each vendor's algorithm operates as an independent module, allowing the system to manage complexity through modular architecture while maintaining versatility
3Productivity
If automated algorithm execution is implemented, then processing speed increases, but the need for algorithm selection and configuration adds complexity
Solution Approach 1:
The platform implements self-service automation by automatically selecting and configuring appropriate algorithms based on digital slide characteristics. The system autonomously determines which algorithms to execute and how to integrate their results without requiring user intervention in the configuration process, thereby maintaining high processing speed while simplifying operation
Data Source
AI summary
Techniques may include enhanced digital pathology platforms. Image data representing a whole slide image (WSI) may be obtained for medical testing or medical evaluation. One or more algorithms may be determined based at least in part on the image data for the WSI based on a set of rules. The one or more algorithms may be executed to obtain one or more results associated with the WSI. The one or more results may be integrated to generate a combined image. The combined image may be displayed via a user interface of a digital pathology platform.