Computer-Aided Diagnosis System for High Throughput Brest Cancer Detection

  • Naresh Tangudu , Dr. O. Naga Raju

Abstract

World-wide, breast cancer is by far the most frequent form of cancer among women. Patients' chances of surviving breast cancer can be improved if the disease is detected early. As mammogram-based breast cancer detection systems have advanced significantly in recent years, this study aims to review the latest advancements and developments in these systems and give an overview of the methods used in each step, beginning with pre-processing and enhancement and concluding at classification. Though promising, CAD systems aren't yet capable of detecting and diagnosing disease in the clinical setting. If CAD systems do not significantly improve their performance from their current level by enhancing the existing approaches, utilising new promising pattern recognition methods such as data augmentation through deep learning, and taking advantage of improvements in computer computational power, this will continue to be true.

Published
2021-11-18
How to Cite
Naresh Tangudu , Dr. O. Naga Raju. (2021). Computer-Aided Diagnosis System for High Throughput Brest Cancer Detection. Design Engineering, 13483-13489. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/6463
Section
Articles