An Alternative Approach to Detect Breast Cancer Using Digital Image Processing Techniques
Chaitanya Varma, Omkar Sawant · 2018
In today's day and age, digital image processing is of great importance in numerous areas of research and development. Digital Image Processing is employed to process digital images and generate useful characteristics from the data, which can then be used to take critical decisions with high accuracy. These techniques are also being applied for application in the medical field, specifically in the detection of Breast Cancer. In the present day scenario, Breast cancer is one of the major causes of death in women and it is difficult to prevent breast cancer as the main reasons underlying breast cancer remain unknown. Nevertheless, particular characteristic signatures of breast cancer, which include masses and microcalcifications visible in mammograms, can be employed for early diagnosis and hence are highly beneficial for women who may be at risk of developing malignant tumors. The principal check used for screening and early diagnosis is X-ray mammography and the proper interpretation of the clinical report is vital for breast cancer prediction, but the decision may be prone to error. In this paper, we propose an approach to efficiently examine digital mammograms using texture segmentation to detect initial phase tumors which shall not be prone to human error and therefore take proper action to mitigate the risks associated with Breast Cancer.