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Convolutional neural networks for brain tumour segmentation
The introduction of quantitative image analysis has given rise to fields such as radiomics which have been used to predict clinical sequelae. One growing area of interest for analysis is brain tumours, in particular glioblastoma multiforme (GBM). Tumour segmentation is an important step in the pipel...
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| 出版年: | Insights Imaging |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Springer Berlin Heidelberg
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7280397/ https://ncbi.nlm.nih.gov/pubmed/32514649 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13244-020-00869-4 |
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