Breast Cancer Classification Depends on the Dynamic Dipper Throated Optimization Algorithm

According to the American Cancer Society, breast cancer is the second largest cause of mortality among women after lung cancer. Women’s death rates can be decreased if breast cancer is diagnosed and treated early. Due to the lengthy duration of manual breast cancer diagnosis, an automated approach i...

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Veröffentlicht in:	Biomimetics (Basel, Switzerland) Jg. 8; H. 2; S. 163
Hauptverfasser:	Alhussan, Amel Ali, Eid, Marwa M., Towfek, S. K., Khafaga, Doaa Sami
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 17.04.2023 MDPI
Schlagworte:	Accuracy Algorithms Alzheimer's disease Automation Brain cancer Breast cancer Classification Deep learning Diagnosis dipper throated optimization algorithm Feature selection Fuzzy logic Lung cancer Machine learning Mammography Medical imaging Medical research Medical screening Neural networks Optimization particle swarm optimization algorithm Semantics Statistical analysis Transfer learning Ultrasonic imaging United States deep learning breast cancer particle swarm optimization algorithm feature selection dipper throated optimization algorithm
ISSN:	2313-7673, 2313-7673
Online-Zugang:	Volltext
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