Cargando…
Dual-Level Augmentation Radiomics Analysis for Multisequence MRI Meningioma Grading
SIMPLE SUMMARY: Prediction of high-grade meningioma on preoperative Magnetic Resonance Imaging (MRI) is essential in therapeutic planning and evaluation of prognosis. In this study, we propose a dual-level augmentation strategy incorporating image-level augmentation (IA) and feature-level augmentati...
Autores principales: | Cai, Zongyou, Wong, Lun M., Wong, Ye Heng, Lee, Hok-lam, Li, Kam-yau, So, Tiffany Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670283/ https://www.ncbi.nlm.nih.gov/pubmed/38001719 http://dx.doi.org/10.3390/cancers15225459 |
Ejemplares similares
-
Nomograms of Combining MRI Multisequences Radiomics and Clinical Factors for Differentiating High-Grade From Low-Grade Serous Ovarian Carcinoma
por: Li, Cuiping, et al.
Publicado: (2022) -
A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma
por: Li, Cuiping, et al.
Publicado: (2022) -
Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique
por: Wei, Jingwei, et al.
Publicado: (2020) -
Radiomics and machine learning of multisequence multiparametric prostate MRI: Towards improved non-invasive prostate cancer characterization
por: Toivonen, Jussi, et al.
Publicado: (2019) -
Radiomics models based on multisequence MRI for predicting PD-1/PD-L1 expression in hepatocellular carcinoma
por: Gong, Xue-Qin, et al.
Publicado: (2023)