… case as one of two women diagnosed with breast cancer die in the cases of Indian women[1…
popular machine learning algorithms and techniques commonly used for breast cancer …

… In this paper we examined different machine learning techniques for breast cancer
detection. We performed a comparative analysis of CNN, KNN, SVM, Logistic regression, Naïve …

… This study also discusses the datasets used for breast cancer detection and diagnosis. The
… is to review the role of machine learning techniques in early detection of the breast cancer. …

… machine learning algorithms in order to identify the most reliable one for detecting breast
cancer… , and various classification methods and analyses offer a highly effective technique for …

… analysis about patients and their medical diagnosis [6, 9, 10, 21]. For example, using machine
learning techniques to assess tumor behavior for breast cancer patients. One problem is …

… reduction and machine learning. This paper proposed a hybrid approach to breast cancer
diagnosis by reducing the high dimensionality of traits using linear differentiation analysis (…

… and wavelet transform will be applied for better diagnosis of breast cancer. … USING
MACHINE LEARNING TECHNIQUES In this study, the automatic breast cancer detection system …

… with transfer learning approaches … learning approaches using Deep learning methods.
Based on the limitations of existing features, we extracted different features from Breast Cancer …

… to diagnose the breast cancer and reduce the death rate. This paper summarizes the survey
on breast cancer diagnosis using various machine learning algorithms and methods, which …

… In this paper, six distinct machine learning techniques were investigated for breast cancer
diagnosis. A competitive performance was demonstrated when dealing with imbalanced data (…