The Potential of a CT-Based Machine Learning Radiomics Analysis to Differentiate Brucella and Pyogenic Spondylitis
Parhat Yasin,1 Muradil Mardan,2 Dilxat Abliz,3 Tao Xu,1 Nuerbiyan Keyoumu,4 Abasi Aimaiti,4 Xiaoyu Cai,1 Weibin Sheng,1 Mardan Mamat1 1Department of Spine Surgery, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, 830054, People's Republic of China; 2School of Medi...
Saved in:
Main Authors: | Yasin P (Author), Mardan M (Author), Abliz D (Author), Xu T (Author), Keyoumu N (Author), Aimaiti A (Author), Cai X (Author), Sheng W (Author), Mamat M (Author) |
---|---|
Format: | Book |
Published: |
Dove Medical Press,
2023-11-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Machine Learning-Based CT Radiomics Method for Identifying the Stage of Wilms Tumor in Children
by: Xiao-Hui Ma, et al.
Published: (2022) -
CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer
by: Sheng Wan, et al.
Published: (2023) -
CT radiomics prediction of CXCL9 expression and survival in ovarian cancer
by: Rui Gu, et al.
Published: (2023) -
A Rare Case of Pyogenic Spondylitis Caused by Aggregatibacter Actinomycetemcomitans
by: N. Yukihira, et al.
Published: (2020) -
Severity Assessment of COVID-19 Using a CT-Based Radiomics Model
by: Zhigao Xu, et al.
Published: (2021)