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Three-class brain tumor classification using deep dense inception residual network
Three-class brain tumor classification becomes a contemporary research task due to the distinct characteristics of tumors. The existing proposals employ deep neural networks for the three-class classification. However, achieving high accuracy is still an endless challenge in brain image classificati...
Tallennettuna:
| Julkaisussa: | Soft comput |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer Berlin Heidelberg
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8051839/ https://ncbi.nlm.nih.gov/pubmed/33897297 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00500-021-05748-8 |
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