Cancer has become very common disease among Indians. Breast cancer occurs 14% of all cancers in women. One in every 28 women is getting affected by breast cancer . Breast cancer detection and identification are done from gene expression and large datasets. Due to the increase in the generation of large datasets of medical data we can analyze specialized patterns that are hidden inside. To analyze the pattern from datasets machine learning techniques such as SVM, KNN, Decision tree are applied. In this paper, we tried to apply some Deep learning techniques to identify the patterns resides in a reoccurrence of breast cancer datasets, Mammogram datasets and to identify the patterns.
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL