Architecture of CDSS(Clinical Decision Support System)
Implementing Virtual Slide-Based Pathological Diagnosis Platform first in Korea
Easily and quickly develop classification, sharing, and discovery algorithms for a number of high-resolution organizational Virtual Slide images
Provide a tool for pathologists and researchers to share diagnosis and research results according to authority and to increase accuracy
Analysis of security requirements in an open-platform environment and research trends in healthcare data-related security technologies
Due to application of AI diagnosis technique, Improving TAT(Turn Around Time) and accuracy of diagnosis
Tumor Cell Extraction Technology
Deep learning model to detect cell location based on image patch
Definition of a probability map with a probability of a tumor cell center reference probability
Technology to extract and quantify area to be inspected
Provide the inspection target area in a heat map format
Based on the image patch,
Apply to WSI to extract and quantify the area to be inspected
Morphological characteristic extraction technology
Various morphological parameter extraction models that are used as tumor selection criteria
Extraction of morphological factors such as density, roundness, density, and local information
