Landmark Annotation Accuracy of Clinicians
Project page
Welcome to the official webpage of the “Landmark Annotation Accuracy of Clinicians” project.
Our initiative is dedicated to curating a comprehensive database that captures the annotation accuracies of various anatomical landmarks. These annotations are made using the most suitable modalities tailored for clinical applications. Given the inherent anatomical diversity among individuals, it’s important to note that these landmarks are defined as distinct “regions” rather than arbitrary pixel points.
The primary objective of this undertaking is to provide insights into the spatial dimensions of these regions across varying confidence levels. This endeavor harmonizes with the outcomes derived from AI-based landmark localization techniques. On the accompanying visual, you’ll observe multiple experts engaged in annotating the pubic tubercles.
For a deeper dive into this project, including additional information and proper citation, we encourage you to explore further at:
Contributing to the database
We highly welcome researchers and clinicians using our method to establish the accuracy database of the landmarks you investigated. We are happy to promote your data and your publication for free on this website.
Email contact: yuan.chai@sydney.edu.au
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Quick navigations
We hope the database will assist with comparing the clinician accuracy outcome with the “AI” outcome at a landmark dimension.
Kolling Orthopaedic Research Association at the Kolling Institute of the University of Sydney works in conjunction with clinical, industrial, and laboratory research in orthopaedic surgery, surgical technology, and big data. We greatly appreciate any comment, collaboration, and resource sharing.
Yuan Chai PhD.
Sydney Musculoskeletal Health
Kolling Institute of Medical Research
Faculty of Medicine and Health
University of Sydney
St. Leonards, NSW 2065, Australia
E-mail: yuan.chai@sydney.edu.au