BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Breast cancer is one of the leading causes of death in the current age. It often results in
subpar living conditions for a patient as they have to go through expensive and painful …
subpar living conditions for a patient as they have to go through expensive and painful …
[HTML][HTML] Machine learning-based diagnosis of breast cancer utilizing feature optimization technique
Breast cancer disease is recognized as one of the leading causes of death in women
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …
worldwide after lung cancer. Breast cancer refers to a malignant neoplasm that develops …
Deep learning and optimization algorithms for automatic breast cancer detection
Z Sha, L Hu, BD Rouyendegh - International Journal of Imaging …, 2020 - Wiley Online Library
Breast cancer is caused by the abnormal and rapid growth of breast cells. An early
diagnosis can ensure an easier and effective treatment. A mass in the breast is a significant …
diagnosis can ensure an easier and effective treatment. A mass in the breast is a significant …
Breast cancer diagnosis using support vector machines optimized by whale optimization and dragonfly algorithms
Breast Cancer (BC) has become a critical illness with a high mortality rate during the
previous decade. It is considered the women's most common cancer. In this paper, we …
previous decade. It is considered the women's most common cancer. In this paper, we …
[PDF][PDF] Breast cancer detection using machine learning approaches: a comparative study.
As the cause of the breast cancer disease has not yet clearly identified and a method to
prevent its occurrence has not yet been developed, its early detection has a significant role …
prevent its occurrence has not yet been developed, its early detection has a significant role …
Insight into breast cancer detection: new hybrid feature selection method
WM Shaban - Neural Computing and Applications, 2023 - Springer
Breast cancer, which is also the leading cause of death among women, is one of the most
common forms of the disease that affects females all over the world. The discovery of breast …
common forms of the disease that affects females all over the world. The discovery of breast …
Detection of breast cancer through clinical data using supervised and unsupervised feature selection techniques
Breast cancer is one the most critical disease and suffered many people around the world.
The efficient and correct detection of breast cancer is still needed to ensure this medical …
The efficient and correct detection of breast cancer is still needed to ensure this medical …
Breast cancer prediction using a hybrid method based on butterfly optimization algorithm and ant lion optimizer
The design and development of a computer-based system for breast cancer detection are
largely reliant on feature selection techniques. These techniques are used to reduce the …
largely reliant on feature selection techniques. These techniques are used to reduce the …
[HTML][HTML] Breast cancer prediction based on neural networks and extra tree classifier using feature ensemble learning
Cancer prediction has always been a major and difficult matter for doctors and researchers.
Early-stage detection of disease can help in the timely diagnosis and prognosis. Several …
Early-stage detection of disease can help in the timely diagnosis and prognosis. Several …
[PDF][PDF] A comparative analysis of methods for detecting and diagnosing breast cancer based on data mining
AT Alhasani, H Alkattan, AA Subhi, ESM El-Kenawy… - Methods, 2023 - academia.edu
Breast cancer is a significant public health concern worldwide, and early detection is crucial
for its treatment. Although breast cancer has been extensively studied, there is still room for …
for its treatment. Although breast cancer has been extensively studied, there is still room for …