Cancer Detection in Mammograms by Extracting Geometry and Texture Features

Pallavi P. Jadhav,Prof. U. A. Nuli (2017). Cancer Detection in Mammograms by Extracting Geometry and Texture Features. International Journal of Computer Engineering In Research Trends, 4(12), 552-555. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I1203.pdf

4 Pages Posted: 5 Jun 2020

See all articles by U. A. Nuli

U. A. Nuli

DKTE Society's Textile & Engineering Institute

Date Written: December 12, 2017

Abstract

Breast cancer is one of the most frequently occurring diseases which cause death among women. Masses present in mammogram of breast, primarily indicates breast cancer and it is important to classify them as benign or malignant. Benign and malignant masses differ in geometry and texture characteristics. However, not every geometry and texture feature that is extracted contributes to the improvement of classification accuracy; thus, to select the best features from a set is important. Proposed new system will examine the feature selection methods for mass classification.

Keywords: Breast cancer, mammograms, Region of Interest (ROI), Feature Extraction

Suggested Citation

Nuli, U. A., Cancer Detection in Mammograms by Extracting Geometry and Texture Features (December 12, 2017). Pallavi P. Jadhav,Prof. U. A. Nuli (2017). Cancer Detection in Mammograms by Extracting Geometry and Texture Features. International Journal of Computer Engineering In Research Trends, 4(12), 552-555. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I1203.pdf, Available at SSRN: https://ssrn.com/abstract=3386568

U. A. Nuli (Contact Author)

DKTE Society's Textile & Engineering Institute

Rajwada
Ichalkaranji, Maharashtra 416115
India

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