Breast Cancer recognizable proof, classification and discovery utilizing neural networks

Artificial neural networks are widely used tools in various fields of medicine and technology. Breast cancer is the world’s second biggest cause of death for women. One of the key issues in medicine is determining the right diagnosis of breast cancer. More effective procedures for early and precise diagnosis are constantly being developed. More than 10% of women develop breast cancer after lung cancer. Breast tumor can be identified by the following features: Redness in skin, size change, pain in abdominal, etc. Changes in the texture. The main causes of breast cancer sometimes it is very vague, but the disease is difficult to stop. Neural networks have become a very popular tool in diagnosing breast cancer and classifying cancer datasets. Artificial neural networks are a field of artificial intelligence and are widely used as new technologies in the field of computer science.We have used neural networks to find out the tumor is Benign or Malignant. The input are just a bunch of measurement and features of tumor. Some of these parameters include measurement of the nuclei of cells in the tumors.