A Comparison of Machine Learning Models for Survival Prediction of Patients with Glioma Using Radiomic Features from MRI Scans

Background  Glioma is a primary, malignant, highly aggressive brain tumor, with patients having an average life expectancy of 14 to 16 months after diagnosis. Magnetic resonance imaging (MRI) scans of these patients can be used to extract and analyze quantifiable features with potential clinical sig...

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Detalles Bibliográficos
Autores principales: Manjunath, Madhumitha, Saravanakumar, Shayana, Kiran, Shreya, Chatterjee, Jhinuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Thieme Medical and Scientific Publishers Pvt. Ltd. 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289839/
https://www.ncbi.nlm.nih.gov/pubmed/37362372
http://dx.doi.org/10.1055/s-0043-1767786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289839/
https://www.ncbi.nlm.nih.gov/pubmed/37362372
http://dx.doi.org/10.1055/s-0043-1767786

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