Modeling of Aquila Optimizer with Hybrid ResNet-DenseNet enabled Breast Cancer Classification on Histopathological Images

R.K. Chandana Mani, J. Kamalakannan

DOI: 10.3233/jifs-236636
Published: 2024-02-14
Container: Journal of Intelligent & Fuzzy Systems
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3233/jifs-236636,
  title = {Modeling of Aquila Optimizer with Hybrid ResNet-DenseNet enabled Breast Cancer Classification on Histopathological Images},
  author = {R.K. Chandana Mani and J. Kamalakannan},
  year = {2024},
  journal = {Journal of Intelligent \&amp; Fuzzy Systems},
  doi = {10.3233/jifs-236636},
  url = {https://doi.org/10.3233/jifs-236636}
}

RIS

TY  - JOUR
TI  - Modeling of Aquila Optimizer with Hybrid ResNet-DenseNet enabled Breast Cancer Classification on Histopathological Images
AU  - R.K. Chandana Mani
AU  - J. Kamalakannan
PY  - 2024
JO  - Journal of Intelligent &amp; Fuzzy Systems
DO  - 10.3233/jifs-236636
UR  - https://doi.org/10.3233/jifs-236636
ER  -

APA

Mani, R. C., & Kamalakannan, J. (2024). Modeling of Aquila Optimizer with Hybrid ResNet-DenseNet enabled Breast Cancer Classification on Histopathological Images. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-236636

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crossref · retrieved 2026-09-25T07:25:04.419Z