A deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb

A deep learning-based multi-view approach to automatic 3D landmarking and deformity assessment of lower limb

Abstract Anatomical Landmark detection in CT-Scan images is widely used in the identification of skeletal disorders. However, the traditional process of manually detecting anatomical landmarks, especially in three dimensions, is both time-consuming and prone to human errors. We propose a novel, deep...

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Bibliographic Details
Main Authors: Reyhaneh Rostamian, Masoud Shariat Panahi, Morad Karimpour, Hadi G. Kashani, Amirhossein Abi
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Skeletal landmark detection
Lower-limb deformities
3d bone modeling
CT scan images
Convolutional neural networks
Online Access:https://doi.org/10.1038/s41598-024-84387-z
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https://doi.org/10.1038/s41598-024-84387-z

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