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Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning
Background: Accurate glioma grading before surgery is of the utmost importance in treatment planning and prognosis prediction. But previous studies on magnetic resonance imaging (MRI) images were not effective enough. According to the remarkable performance of convolutional neural network (CNN) in m...
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| Publicat a: | Front Neurosci |
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| Autors principals: | , , , , , , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Frontiers Media S.A.
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6250094/ https://ncbi.nlm.nih.gov/pubmed/30498429 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00804 |
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