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 confirm whether the medical image data is suitable for use in machine learning, and the evaluation item means a ratio occupied by a normal frame among all frames Data normality; Learning suitability, which means the proportion of labeled or labelable frames in the received data; And anatomical integrity, which means the proportion of anatomical elements included in the received data relative to anatomical elements based on medical standards.