Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net

Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net

Objective: Segmenting and reconstructing 3D models of bone tumors from 2D image data is of great significance for assisting disease diagnosis and treatment. However, due to the low distinguishability of tumors and surrounding tissues in images, existing methods lack accuracy and stability. This stud...

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Bibliographic Details
Main Authors: Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Journal of Bone Oncology
Subjects:
Image segmentation
DCU-Net model
3D visualization
Bone tumor diagnosis
Mixed reality
Online Access:http://www.sciencedirect.com/science/article/pii/S2212137424001349
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