Automated Detection of Breast Lump/ Masses through Mammogram Image Analysis

https://doi.org/10.55529/jipirs.34.36.43

Authors

  • Dr. Seshaiah Merikapudi Associate Professor, Department of CSE, SJC Institute of Technology, Chickballapur, Karnataka India.
  • Prof. Rame Gowda M Assistant Professor, Department of ECE, SJC Institute of Technology, Chickballapur, Karnataka India.
  • Dr. Shwetha V Associate Professor, Department of ECE, SJC Institute of Technology, Chickballapur, Karnataka India.
  • Dr. Harshavardhana Doddamani Associate Professor, Department of CSE, SJC Institute of Technology, Chickballapur, Karnataka India.

Keywords:

Breast Lump, Mammogram, Screening, Tumour.

Abstract

Current technology is playing a key role in the field of health care. As everything is getting automated here is an attempt to automate the identification of lumps in the breast. Lump in the breast can be a sign of breast cancer. The uncontrolled growth of breast cells is the reason for lumps or cancer in the breast. Not all lumps in the breasts are cancer. Still early identification and staging of the disease is critical in planning the treatment of breast cancer. In late stages malignancy can extend beyond the breast and spread to surrounding structures. Mammogram is the gold standard procedure in the diagnosis of carcinoma of breast cancer. In this article we have made an attempt to spot out the lump in the breast with the aid of technology. We have also attempted to extend our work to identify the stage of the cancer.

Published

2023-07-30

How to Cite

Dr. Seshaiah Merikapudi, Prof. Rame Gowda M, Dr. Shwetha V, & Dr. Harshavardhana Doddamani. (2023). Automated Detection of Breast Lump/ Masses through Mammogram Image Analysis. Journal of Image Processing and Intelligent Remote Sensing, 3(04), 36–43. https://doi.org/10.55529/jipirs.34.36.43