Early Diagnosis of Breast Cancer Using Image Processing Techniques

Cancer is a noncommunicable chronic disease that indistinctly affects people of any nationality, race, ethnicity, age, or social class. Because its unpredictability, receiving the diagnosis this almost always alarming for patient. Breast cancer, especially among women, occupies prominent position in ranking. However, if diagnosed early, there an excellent chance cure. In sense, digital technologies have been advancing at increasingly fast pace to support early disease. Clinical analysis breast cancer commonly performed using diagnostic imaging. One most used exams considered main one detection type mammography. This exam allows visualization tissue from image screening X-rays. use computational techniques essential assist medical professionals diagnosing disease, thus making prevention and even more effective current context. The present work limited (image processing artificial intelligence) cooperate with which supports professional analyze images be able diagnose, stage, emergence significantly increasing chances curing it. It can gathered research how discovery X-rays growth sector combined cutting-edge technology benefitted offered cure many cases.