Deep Learning Classifies Low- and High-Grade Glioma Patients with High Accuracy, Sensitivity, and Specificity Based on Their Brain White Matter Networks Derived from Diffusion Tensor Imaging

Classifying low-grade glioma (LGG) patients from high-grade glioma (HGG) is one of the most challenging tasks in planning treatment strategies for brain tumor patients. Previous studies derived several handcrafted features based on the tumor’s texture and volume from magnetic resonance images (MRI)...

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Detalles Bibliográficos
Autores principales: Vidyadharan, Sreejith, Prabhakar Rao, Budhiraju Veera Venkata Satya Naga, Perumal, Yogeeswari, Chandrasekharan, Kesavadas, Rajagopalan, Venkateswaran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777902/
https://www.ncbi.nlm.nih.gov/pubmed/36553224
http://dx.doi.org/10.3390/diagnostics12123216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777902/
https://www.ncbi.nlm.nih.gov/pubmed/36553224
http://dx.doi.org/10.3390/diagnostics12123216

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