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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:AJNR Am J Neuroradiol
मुख्य लेखकों: 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.
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: American Society of Neuroradiology 2020
विषय:
Pediatrics
ऑनलाइन पहुंच: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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