Comparing Human-Level and Machine Learning Model Performance in White Blood Cell Morphology Assessment.
Journal:
European journal of haematology
PMID:
39370635
Abstract
INTRODUCTION: There is an increasing research focus on the role of machine learning in the haematology laboratory, particularly in blood cell morphologic assessment. Human-level performance is an important baseline and goal for machine learning. This study aims to assess the interobserver variability and human-level performance in blood cell morphologic assessment.