Impact of Radiologist Experience on AI Annotation Quality in Chest Radiographs: A Comparative Analysis

Impact of Radiologist Experience on AI Annotation Quality in Chest Radiographs: A Comparative Analysis

<b>Background/Objectives</b>: In the burgeoning field of medical imaging and Artificial Intelligence (AI), high-quality annotations for training AI-models are crucial. However, there are still only a few large datasets, as segmentation is time-consuming, experts have limited time. This s...

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Bibliographic Details
Main Authors:	Malte Michel Multusch, Lasse Hansen, Mattias Paul Heinrich, Lennart Berkel, Axel Saalbach, Heinrich Schulz, Franz Wegner, Joerg Barkhausen, Malte Maria Sieren
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Diagnostics
Subjects:	annotation quality interreader comparison chest radiograph AI research
Online Access:	https://www.mdpi.com/2075-4418/15/6/777
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