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

Breast cancer (BC) is the most common cancer amongst women that threatens the health of women, initial diagnosis of BC becomes essential. Though there were several means to diagnose BC, the standard way is pathological analysis. Precise diagnosis of BC necessitates experienced histopathologists and...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2024-02, Vol.46 (2), p.5087-5102
Hauptverfasser:	Chandana Mani, R.K., Kamalakannan, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Breast cancer Classification Deep learning Diagnosis Feature extraction Image classification Machine learning Medical imaging Model accuracy Object recognition Womens health
Online-Zugang:	Volltext
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