Development of breast cancer therapy and gender
Breast cancer is a disease in which abnormal cells in the breast tissues multiply and form an invasive (or malignant) tumor. Such tumors can invade and damage the tissue around them and spread to other parts of the body through the lymphatic or vascular systems. We will describe in our study several types of breast cancer, since they are classified into two main categories: “invasive” and “non-invasive,” or in situ. While invasive cancer has spread from the breast ducts or glands to other parts of the breast, non-invasive cancer has not spread from the original tissue. Our study will focus on the best tests that examine the breasts which are used to detect and diagnose breast cancer: Physical exam and health history, Clinical breast exam (CBE), Mammogram, Ultrasound exam, MRI (magnetic resonance imaging), Blood chemistry studies and Biopsy. We will include the value of such tests after breast cancer has been diagnosed, to find out if cancer cells have spread within the breast or to other parts of the body.
Artificial neural networks : Recent advances, new perspectives and applications
This book explores the potential of ANNs for applications in different fields. Itincludes eight chapters that discuss deep learning, ANN tools, and other cutting-edgetechnologies. It also suggests avenues for further research into ANN techniques formedical imaging to detect breast tumors, classification of COVID-19 surveillancedatasets, health management, estimation of materials processing parameters, solarenergy management, and control of a petrochemical unit.

