<b><span>Introduction</span></b>

Breast
cancer is a diverse infection which can be broken into various types. Breast
cancer is the most common non-malignant skin disease in women and the second
major cause of death from female cancer (E.C. Fear et al., 2003). Breast tumors
tend to show up in mammograms in the shape of thick areas. At a certain stage
in the&nbsp;lives of women, 25% of females in the US are diagnosed with breast
cancer (WHO, 2015). In the UAE, breast cancer is diagnosed in 43% of female
patients (Y. Elobaid et al., 2016). For many doctors, forecasting a cancerous
tumor correctly remains a difficult task. The development of new medical
technologies, as well as the huge amount of patient data,&nbsp;motivated the
route to introducing new cancer forecast and detection techniques. Even as the
data analysis obtained from the patient and the intake of doctors contribute
significantly to the diagnostic process, additional resources can be
implemented to promote correct diagnoses. These instruments are designed to
eliminate possible diagnostic errors and provide a quick way to evaluate large
data blocks.

Breast Cancer Detection Using Machine Learning Algorisms

Useful links

Company

Information

Content Writers

Freelancers

Freelance Jobs

Online Jobs

Designers

Developers

Translations