Cargando…
Machine Learning and Deep Learning CT-Based Models for Predicting the Primary Central Nervous System Lymphoma and Glioma Types: A Multicenter Retrospective Study
PURPOSE AND BACKGROUND: Distinguishing primary central nervous system lymphoma (PCNSL) and glioma on computed tomography (CT) is an important task since treatment options differ vastly from the two diseases. This study aims to explore various machine learning and deep learning methods based on radio...
Autores principales: | Lu, Guang, Zhang, Yuxin, Wang, Wenjia, Miao, Lixin, Mou, Weiwei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469735/ https://www.ncbi.nlm.nih.gov/pubmed/36110392 http://dx.doi.org/10.3389/fneur.2022.905227 |
Ejemplares similares
-
Use of 18F-FDG-PET/CT in differential diagnosis of primary central nervous system lymphoma and high-grade gliomas: A meta-analysis
por: Zhang, Guisheng, et al.
Publicado: (2022) -
Predicting transient ischemic attack risk in patients with mild carotid stenosis using machine learning and CT radiomics
por: Xia, Hai, et al.
Publicado: (2023) -
Machine learning segmentation of core and penumbra from acute stroke CT perfusion data
por: Werdiger, Freda, et al.
Publicado: (2023) -
Diagnosis of Acute Central Dizziness With Simple Clinical Information Using Machine Learning
por: Kim, Bum Joon, et al.
Publicado: (2021) -
Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study
por: Li, Fengda, et al.
Publicado: (2023)