Detection of Breast Cancer using AI Techniques – A Survey

Abstract

Cancer refers to any one of a large number of diseases characterized by the development of abnormal cells that divide uncontrollably and have the ability to infiltrate and destroy normal body tissue.Without treatment, it can cause serious health issues andresult in a loss of life. Breast cancer is the most common cancer among women around the world. Despite enormous medical progress, breast cancer has still remained the second leading cause of death worldwide. Early detection of cancer may reduce mortality and morbidity. This paper presents a review of the detection methods for cancer through Artificial Intelligence (AI) in different ways. Previously Microscopic reviews of tissues on glass slides are used for cancer diagnostics to improve diagnostic accuracy. We can use different techniques such as digital imaging and artificial intelligence algorithm. Cancer care is also advancing thanks to AI’s ability to collect and process data. Due to the nature of processing this information, the task is often a time-consuming and tedious job for doctors. This process may be made much easier, quicker and efficient through the advancement as well as by using modified technologies.

Enhanced Mammography image for Breast cancer detection using LC-CLAHE technique

“…In Yemen, breast cancer is the first of the five most common reported cancers among Yemeni women and, during the last years, it is dramatically growing, it is the most common cancer worldwide of deaths among women [4]. Early detection can survive the people lives because it is easier to treat and prevent the tumor to be expanded [10].…”

“…Early detection can survive the people lives because it is easier to treat and prevent the tumor to be expanded [10]. Yemeni breast cancer patients, like others of patients in the Arab countries, this is registered at Aden cancer center for research [4] and at Al-Amal Cancer Hospital. According to the latest WHO data, published in 2017, Breast Cancer Deaths in Yemen reached 1,133 or 0.78% of the total deaths [2].…”