A SYSTEMATIC REVIEW OF CAD SYSTEM BASED APPROACH IN DIAGNOSING BREAST CANCER AND ANALYZE EFFECTIVENESS OF MACHINE LEARNING AND DEEP LEARNING ALGORITHMS IN EARLY DETECTION
International Journal of Biology Pharmacy and Allied Sciences · 2021
This study intends to throw some light on the different treatment gateways of breast cancer.As we know that women are worst affected by this life threatening disease around the globe, everyone should be aware of the fact that this disease can be tackled if it is detected at the initial stage.In India, the most number of women are affected by this fatal carcinoma and that results in a huge death rate.MRI, Biopsy, USG, Mammography, Histopathological images and many other diagnostic tests can confirm the presence of breast cancer in women.This paper will focus on the prediction of the test samples to be malignant or not by studying the ways of performing machine learning based computer aided systems.By reviewing many important and promising papers in this area, it has been found that there is an established system of detection of carcinoma that is known as Computer Aided Detection.This system consists of the different stages as in image pre-processing, segmentation of images, extraction of relevant features and image classification.We also found from the review that the