Machine Learning in the Classification of Pediatric Posterior Fossa Tumors: A Systematic Review

SIMPLE SUMMARY: Diagnosis of posterior fossa tumors is challenging yet proper classification is imperative given that treatment decisions diverge based on tumor type. The aim of this systematic review is to summarize the current state of machine learning methods developed as diagnostic tools for the...

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Detalles Bibliográficos
Autores principales: Yearley, Alexander G., Blitz, Sarah E., Patel, Ruchit V., Chan, Alvin, Baird, Lissa C., Friedman, Gregory K., Arnaout, Omar, Smith, Timothy R., Bernstock, Joshua D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688156/
https://www.ncbi.nlm.nih.gov/pubmed/36428701
http://dx.doi.org/10.3390/cancers14225608

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688156/
https://www.ncbi.nlm.nih.gov/pubmed/36428701
http://dx.doi.org/10.3390/cancers14225608

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