The Method and System for Evaluating the Quality of Medical Image dataset for Machine Learning

摘要

The present invention relates to a method and a system for evaluating the quality of a medical image data set in order to check whether the medical image data is suitable for use in machine learning. Data normality; Learning suitability, which means the ratio of the labeled or labelable frames in the received data; And anatomical completeness, which means the ratio of the anatomical elements included in the received data with respect to the anatomical elements based on medical standards.