• Aishwarya Bharambe
• Lakshmi Panat
• Swapna Yenishetti

In recent years, Ministry of Health under Government of India has ranked Breast cancer as the number one cancer diagnosed among Indian women [1], followed by Cervical Cancer. India has witnessed an increase in the number of young women diagnosed with Breast cancer. In order to address this public health problem, there is a need of improving the diagnostic techniques in detection of breast cancer. Various imaging modalities used in the detection of breast cancer are Mammography, X-Ray, MRI (Magnetic Resonance Image), Computed Tomography (CT) etc. In this paper, we discuss Imaging modalities for detection of cancer, Computer aided diagnosis systems, and present a survey of Techniques used for Detection of breast cancer using Deep Learning and Segmentation of abnormalities from medical imaging using Image processing. These computer aided methods may improve interpretation of imaging results, thus helping doctors make better decisions in the treatment and management of breast cancer.

Cancer, Radiology, Imaging Modalities, Deep Learning, Image processing, Classification, Segmentation.

"Detection of Breast cancer and Segmentation of abnormalities using Deep learning and Image processing techniques: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.127-133, April-2019, Available :http://www.jetir.org/papers/JETIR1904919.pdf

"Detection of Breast cancer and Segmentation of abnormalities using Deep learning and Image processing techniques: A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp127-133, April-2019, Available at : http://www.jetir.org/papers/JETIR1904919.pdf