Breast Carcinoma Detection Using Conventional Sophisticated Learning Algorithms

Breast carcinoma has become the most prominent and very often detected cancer in women and its rate of increase is highly doubled every year. If it detected and treated early, then the chances of recovery from this disease are also high. The Deep learning has got a greater potential to handle vast amount of the data and hence it proved its results extensively in the medical domain. With the help of Deep Learning oriented technique, automatic feature extraction is made efficient to analyze the highly correlated and higher dimensional data in the early diagnosis of Breast Carcinoma. Many researchers have developed extensive methods to predict the growing stage of the cancer by using medical imaging modalities. The proposed work mainly focuses on the current up-growing DL based frameworks, different type of imaging methods involved in breast carcinoma diagnosis and to develop a system using conventional learning algorithms to detect the breast carcinoma.