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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發表在:AJNR Am J Neuroradiol
Main Authors: 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.
格式: Artigo
語言:Inglês
出版: American Society of Neuroradiology 2020
主題:
Pediatrics
在線閱讀: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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