Method and system for early diagnosis of lesions

The method and system for early lesion diagnosis address real-time processing and user-specific visualization challenges by employing AI-driven preprocessing and personalized adjustment, improving diagnostic accuracy and efficiency.

KR103021645B1Active Publication Date: 2026-09-22CNAI CO LTD
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Patent Information

Application Number
KR1020250109646
Authority / Receiving Office
KR · KR
Patent Type
Patents
Current Assignee / Owner
Filing Date
2025-08-08
Publication Date
2026-09-22
Estimated Expiration
2045-08-08

AI Technical Summary

Technical Problem

Existing WSI data analysis methods face challenges in real-time processing of high-volume, complex images, lack of quantitative lesion location and reliability assessment, and insufficient consideration of user characteristics for personalized diagnosis.

Method used

A method and system for early lesion diagnosis that includes preprocessing, lesion detection using AI, statistical analysis, and personalized adjustment based on WSI data, utilizing parallel processing for rapid data handling, user-defined reliability thresholds, and user-specific weighting for customized visualization.

Benefits of technology

Enables rapid, accurate, and personalized lesion diagnosis by automating detection, providing quantitative visualization, and integrating user-specific criteria, enhancing diagnostic efficiency and objectivity.

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Abstract

The present invention relates to a method and system for early diagnosis of lesions configured to enable early diagnosis of lesions by including functions for preprocessing, lesion detection, statistical analysis, visualization, and personalization adjustment based on Whole Slide Image (WSI) data. More specifically, the invention relates to a method for early diagnosis of lesions based on Whole Slide Image (WSI) data using an early lesion diagnosis system, comprising: a step of receiving and preprocessing said WSI data; and a step of detecting lesions by applying an artificial intelligence model to the preprocessed high-resolution image.
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