The current era is characterized by the rapidly increasing use of computer-aided diagnosis
(CAD) systems in the medical field. These systems need a variety of datasets to help …

The current state of machine learning (ML) and deep learning (DL) shows that they are
powerful tools that can be used to glean knowledge from a huge amount of data. While a …

According to the American Cancer Society's forecasts for 2019, there will be about 268,600
new cases in the United States with invasive breast cancer in women, about 62,930 new …

Purpose Breast cancer is a common but treatable disease for adult women. Improvements in
breast cancer detection and treatment have helped to lower mortality, but there is still a need …

Breast cancer is one of the leading causes of death among women. Early detection of breast
cancer can significantly improve the lives of millions of women across the globe. Given …

This paper presents a survey in the field of computer aided diagnosis (CAD) of breast
cancer. Breast cancer is a common disease among the women. Mammography is the most …

Detection of Masses in Digital Mammograms using K-means and Support Vector Machine
Page 1 Electronic Letters on Computer Vision and Image Analysis 8(2):39-50, 2009 Detection …

Breast cancer is weighed one of the most life-threatening illnesses confronting women. It
happens when the multiplication of cells in breast tissue is uncontrollable. Several studies …

To efficiently and intelligently archive, retrieve, and analyze digitized mammogram images in
breast cancer detection, a robust knowledge based system needs to be developed to …

Background Machine learning (ML) has become a vital part of medical imaging research.
ML methods have evolved over the years from manual seeded inputs to automatic …