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An ensemble-based deep learning method through multi-scale cross-attention training for cephalometric landmark localization on lateral X-ray images

2025-03-12

Abstract excerpt

<title>Abstract</title> <p>Cephalometric landmark localization constitutes a core step in the diagnosis and treatment planning of orthodontics, or-thognathic surgery, and maxillofacial surgery. However, the manual marking process is time-consuming, laborious, and subject to inter-observer differences. Despite the advancements made by deep learning-based methods (such as heatmap regression), existing single-scale...

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Literature Corpus work
d96e7664-03af-5802-ac22-9edfaa0c425d
DOI
10.21203/rs.3.rs-6105085/v1
Open publication

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An ensemble-based deep learning method through multi-scale cross-attention training for cephalometric landmark localization on lateral X-ray imagesDOI 10.21203/rs.3.rs-6105085/v1
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