Inspection Assistance Device for Tumor Content Analysis
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Solution Overview
Problem
The high computational cost of identifying regions with high tumor cell content rates in pathological images for genetic panel tests, as existing methods process entire images, leading to inefficient calculation processes.
Innovation Solution
An inspection assistance device and system that acquires pathology specimen images, allows region designation, detects tumor and non-tumor cell positions, and calculates tumor cell content rates for divided regions of predetermined sizes, reducing the computational burden by focusing on specific areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If processing is performed on the entire pathology specimen image, then the identification of tumor cell content rate is comprehensive, but the calculation cost becomes high
Solution Approach 1:
The pathology specimen image is divided into multiple divided regions, and tumor cell content rate calculation is performed separately for each divided region. This segmentation approach reduces the computational burden of processing the entire image while maintaining comprehensive identification of tumor cell distribution across different areas of the specimen.
2Reliability
If the entire image is processed to identify tumor regions, then complete coverage is achieved, but the processing time increases
Solution Approach 1:
The image is segmented into multiple divided regions that are processed independently and in parallel. This segmentation enables complete coverage of the entire pathology specimen while reducing processing time through parallel computation across multiple regions.
Solution Approach 2:
The system calculates tumor cell content rates for divided regions rather than processing the entire image as a single unit. This partial action approach maintains reliability by covering all necessary areas while reducing the time cost through manageable regional processing.
Data Source
AI summary
Provided is a technology for reducing calculation cost for identifying a region that has a high tumor content ratio and is used for gene panel testing. This testing support device comprises an acquisition means that acquires a pathological specimen image, a region reception means that receives designation of a region for the acquired pathological specimen image, a detection means that detects the position of a tumor cell and the position of a non-tumor cell in the designated region of the pathological specimen image, and a calculation means that calculates a tumor content ratio for each divided region, which is obtained through division a predetermined size, on the basis of the detected position of a tumor cell and the detected position of a non-tumor cell.