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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Xehetasun bibliografikoak
Argitaratua izan da:AJNR Am J Neuroradiol
Egile Nagusiak: 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.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: American Society of Neuroradiology 2020
Gaiak:
Pediatrics
Sarrera elektronikoa: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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