[HTML][HTML] Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier
Breast cancer is the most common cancer among women such that the existence of a
precise and reliable system for the diagnosis of benign or malignant tumors is critical …
precise and reliable system for the diagnosis of benign or malignant tumors is critical …
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 …
Literature review of breast cancer detection using machine learning algorithms
Cancer is the leading cause of non-accidental deaths worldwide. Specifically, nearly 10
million people died globally from cancer in the year 2020. Breast Cancer (BC) is a common …
million people died globally from cancer in the year 2020. Breast Cancer (BC) is a common …
Comparison of machine learning methods for breast cancer diagnosis
Cancer is the common problem for all people in the world with all types. Particularly, Breast
Cancer is the most frequent disease as a cancer type for women. Therefore, any …
Cancer is the most frequent disease as a cancer type for women. Therefore, any …
[HTML][HTML] Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning
Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …
death. Conventional breast cancer detection methods require several laboratory tests and …
[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 …
[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 …
Malignant and benign breast cancer classification using machine learning algorithms
At the moment, the most prevalent form of cancer diagnosed in women across the globe is
breast cancer. It develops in the breast tissue and is one of the most frequent causes of …
breast cancer. It develops in the breast tissue and is one of the most frequent causes of …
Probabilistic neural network for breast cancer classification
AT Azar, SA El-Said - Neural Computing and Applications, 2013 - Springer
Among cancers, breast cancer causes second most number of deaths in women. To reduce
the high number of unnecessary breast biopsies, several computer-aided diagnosis systems …
the high number of unnecessary breast biopsies, several computer-aided diagnosis systems …
A breast cancer diagnosis method based on VIM feature selection and hierarchical clustering random forest algorithm
Z Huang, D Chen - IEEE Access, 2021 - ieeexplore.ieee.org
Breast cancer is a neoplastic disease which seriously threatens women's health. It is regard
as the most common cause of cancer death in women. Accurate detection and effective …
as the most common cause of cancer death in women. Accurate detection and effective …