2D–3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks

2D–3D reconstruction of distal forearm bone from actual X-ray images of the wrist using convolutional neural networks

Abstract The purpose of the study was to develop a deep learning network for estimating and constructing highly accurate 3D bone models directly from actual X-ray images and to verify its accuracy. The data used were 173 computed tomography (CT) images and 105 actual X-ray images of a healthy wrist...

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Bibliographic Details
Main Authors: Ryoya Shiode, Mototaka Kabashima, Yuta Hiasa, Kunihiro Oka, Tsuyoshi Murase, Yoshinobu Sato, Yoshito Otake
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-94634-2

Internet

https://doi.org/10.1038/s41598-021-94634-2

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