A Diagnostic Algorithm for Posterior Fossa Tumors in Children: A Validation Study.

César Augusto Pinheiro Ferreira Alves Ulrike Löbel Juan Sebastian Martin Saavedra Sebastian M Toescu Miriam Harumi Tsunemi Sara Reis Teixeira Kshitij Mankad Darren R Hargrave Thomas S Jacques Claudia da Costa Leite Fabricio Guimarães Gonçalves Arastoo Vossough Felice D'Arco

Published in: AJNR. American journal of neuroradiology (2021)

The modified flow chart offers a structured tool to aid in the adjunct diagnosis of pediatric posterior fossa tumors. Our results also establish a useful starting point for prospective clinical studies and for the development of automated algorithms, which may provide precise and adequate diagnostic tools for these tumors in clinical practice.

Keyphrases

machine learning
deep learning
clinical practice
young adults
high throughput