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Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Manual identification of brain tumors is an error-prone and tedious process for radiologists; therefore, it is crucial to adopt an automated system. The binary classification process, such as malignant or benign is relatively trivial; whereas, the multimodal brain tumors classification (T1, T2, T1CE...
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| Publié dans: | Diagnostics (Basel) |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7459797/ https://ncbi.nlm.nih.gov/pubmed/32781795 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics10080565 |
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