A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.
- DOI
- 10.1155/2022/6446680
- Published
- 2022
- Container
- Computational and mathematical methods in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1155/2022/6446680,
title = {A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.},
author = {Haq EU and Jianjun H and Huarong X and Li K and Weng L},
year = {2022},
journal = {Computational and mathematical methods in medicine},
doi = {10.1155/2022/6446680},
url = {https://doi.org/10.1155/2022/6446680}
}RIS
TY - JOUR TI - A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI. AU - Haq EU AU - Jianjun H AU - Huarong X AU - Li K AU - Weng L PY - 2022 JO - Computational and mathematical methods in medicine DO - 10.1155/2022/6446680 UR - https://doi.org/10.1155/2022/6446680 ER -
APA
EU, H., H, J., X, H., K, L., & L, W. (2022). A Hybrid Approach Based on Deep CNN and Machine Learning Classifiers for the Tumor Segmentation and Classification in Brain MRI.. Computational and mathematical methods in medicine. https://doi.org/10.1155/2022/6446680
Source records
- pubmed · retrieved 2026-09-24T20:47:02.489Z