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...
Main Authors: | Amel Ali Alhussan, Marwa M. Eid, S. K. Towfek, Doaa Sami Khafaga |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Biomimetics |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-7673/8/2/163 |
Similar Items
-
Innovative Feature Selection Method Based on Hybrid Sine Cosine and Dipper Throated Optimization Algorithms
by: Abdelaziz A. Abdelhamid, et al.
Published: (2023-01-01) -
Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization
by: Amel Ali Alhussan, et al.
Published: (2023-06-01) -
Diagnosis of Monkeypox Disease Using Transfer Learning and Binary Advanced Dipper Throated Optimization Algorithm
by: Amal H. Alharbi, et al.
Published: (2023-07-01) -
Wind speed forecasting using optimized bidirectional LSTM based on dipper throated and genetic optimization algorithms
by: Amel Ali Alhussan, et al.
Published: (2023-06-01) -
Optimized ensemble model for wind power forecasting using hybrid whale and dipper-throated optimization algorithms
by: Amel Ali Alhussan, et al.
Published: (2023-06-01)