Cargando…
Identification and validation of radiomic features from computed tomography for preoperative classification of neuroblastic tumors in children
BACKGROUND: To identify radiomic features that can predict the pathological type of neuroblastic tumor in children. METHODS: Data on neuroblastic tumors in 104 children were retrospectively analyzed. There were 14 cases of ganglioneuroma, 24 cases of ganglioneuroblastoma, and 65 cases of neuroblasto...
Autores principales: | Zhao, Lian, Shi, Liting, Huang, Shun-gen, Cai, Tian-na, Guo, Wan-liang, Gao, Xin, Wang, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207804/ https://www.ncbi.nlm.nih.gov/pubmed/37226234 http://dx.doi.org/10.1186/s12887-023-04057-3 |
Ejemplares similares
-
Computed tomography-based radiomics to assess risk stratification in pediatric malignant peripheral neuroblastic tumors
por: Wang, Xiaoxia, et al.
Publicado: (2023) -
Radiomic features analysis in computed tomography images of lung nodule classification
por: Chen, Chia-Hung, et al.
Publicado: (2018) -
Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA)
por: Yunus, Mardhiyati Mohd, et al.
Publicado: (2022) -
Preoperative Prediction of Metastasis for Ovarian Cancer Based on Computed Tomography Radiomics Features and Clinical Factors
por: Ai, Yao, et al.
Publicado: (2021) -
Development and Validation of Artificial-Intelligence-Based Radiomics Model Using Computed Tomography Features for Preoperative Risk Stratification of Gastrointestinal Stromal Tumors
por: Rengo, Marco, et al.
Publicado: (2023)