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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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| Argitaratua izan da: | AJNR Am J Neuroradiol |
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| Egile Nagusiak: | , , , , , , , , , , , , , , , , , , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
American Society of Neuroradiology
2020
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| Gaiak: | |
| 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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