Detection of Breast Cancer by using Deep Learning Algorithm

Abstract

When a woman is in her 30s and beginning to think about her future, getting breast cancer is hard. Every 4 minutes in India, one woman gets diagnosed with breast cancer, and another 13 are killed from it. The prognosis for women in India is usually diagnosed at a later, more advanced level. More than one in 28 females is likely to be diagnosed with breast cancer. It is estimated that by the year 2030, breast cancer will be the leading killer of women in India. The main form of breast cancer occurs when the cells develop out of control. Tumours are often formed from these cells, which can show up on an x-ray or may often be noticed by the patient. It is malignant if it spreads to nearby tissues and/tissues or spreads (invades) into other regions of the body. Due to the increased accuracy and progress in deep neural networks, for example, which are able to learn from the ultrasonic images by using the model that associates each with a different image, it is now possible to distinguish tumour types using the images of this method with high precision. In this paper we discuss the use of deep learning algorithms on biopsy images for detection of breast cancer.