Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study

BACKGROUND AND PURPOSE: Posterior fossa tumors are the most common pediatric brain tumors. MR imaging is key to tumor detection, diagnosis, and therapy guidance. We sought to develop an MR imaging–based deep learning model for posterior fossa tumor detection and tumor pathology classification. MATER...

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Veröffentlicht in:AJNR Am J Neuroradiol
Hauptverfasser: Quon, J.L., Bala, W., Chen, L.C., Wright, J., Kim, L.H., Han, M., Shpanskaya, K., Lee, E.H., Tong, E., Iv, M., Seekins, J., Lungren, M.P., Braun, K.R.M., Poussaint, T.Y., Laughlin, S., Taylor, M.D., Lober, R.M., Vogel, H., Fisher, P.G., Grant, G.A., Ramaswamy, V., Vitanza, N.A., Ho, C.Y., Edwards, M.S.B., Cheshier, S.H., Yeom, K.W.
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Society of Neuroradiology 2020
Schlagworte:
Pediatrics
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7583118/
https://ncbi.nlm.nih.gov/pubmed/32816765
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6704
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