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Optimizing Neuro-Oncology Imaging: A Review of Deep Learning Approaches for Glioma Imaging
Radiographic assessment with magnetic resonance imaging (MRI) is widely used to characterize gliomas, which represent 80% of all primary malignant brain tumors. Unfortunately, glioma biology is marked by heterogeneous angiogenesis, cellular proliferation, cellular invasion, and apoptosis. This trans...
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| 出版年: | Cancers (Basel) |
|---|---|
| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6627902/ https://ncbi.nlm.nih.gov/pubmed/31207930 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/cancers11060829 |
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