Bone density measurement in patients with spinal metastatic tumors using chest quantitative CT deep learning model

Bone density measurement in patients with spinal metastatic tumors using chest quantitative CT deep learning model

Objective: This study aims to develop a deep learning model using the 3DResUNet architecture to predict vertebral volumetric bone mineral density (vBMD) from Quantitative Computed Tomography (QCT) scans in patients with spinal metastatic tumors, enhancing osteoporosis screening capabilities. Methods...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhi Wang, Yiyun Tan, Kaibin Zeng, Hao Tan, Pingsen Xiao, Guanghui Su
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Bone Oncology
Subjects:
Quantitative computed tomography
Spinal metastatic tumors
Deep learning
Deep red
Volumetric bone mineral density
Bone mineral content
Online Access:http://www.sciencedirect.com/science/article/pii/S2212137424001210
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items