Using Machine Learning to Automate Mammogram Images Analysis

12/06/2020
by   Xuejiao Tang, et al.
Università degli Studi di Milano-Bicocca
Memorial University of Newfoundland
University of Southern Queensland
uni hannover
University of Maryland, Baltimore County
L3S Research Center
McGill University
13

Breast cancer is the second leading cause of cancer-related death after lung cancer in women. Early detection of breast cancer in X-ray mammography is believed to have effectively reduced the mortality rate. However, a relatively high false positive rate and a low specificity in mammography technology still exist. In this work, a computer-aided automatic mammogram analysis system is proposed to process the mammogram images and automatically discriminate them as either normal or cancerous, consisting of three consecutive image processing, feature selection, and image classification stages. In designing the system, the discrete wavelet transforms (Daubechies 2, Daubechies 4, and Biorthogonal 6.8) and the Fourier cosine transform were first used to parse the mammogram images and extract statistical features. Then, an entropy-based feature selection method was implemented to reduce the number of features. Finally, different pattern recognition methods (including the Back-propagation Network, the Linear Discriminant Analysis, and the Naive Bayes Classifier) and a voting classification scheme were employed. The performance of each classification strategy was evaluated for sensitivity, specificity, and accuracy and for general performance using the Receiver Operating Curve. Our method is validated on the dataset from the Eastern Health in Newfoundland and Labrador of Canada. The experimental results demonstrated that the proposed automatic mammogram analysis system could effectively improve the classification performances.

READ FULL TEXT

page 1

page 2

page 3

page 4

05/19/2012

Fuzzy - Rough Feature Selection With Π- Membership Function For Mammogram Classification

Breast cancer is the second leading cause for death among women and it i...
01/20/2022

Improving Specificity in Mammography Using Cross-correlation between Wavelet and Fourier Transform

Breast cancer is in the most common malignant tumor in women. It account...
09/01/2011

Automatic Application Level Set Approach in Detection Calcifications in Mammographic Image

Breast cancer is considered as one of a major health problem that consti...
04/11/2017

Ensemble classifier approach in breast cancer detection and malignancy grading- A review

The diagnosed cases of Breast cancer is increasing annually and unfortun...
07/09/2018

Automatic multi-objective based feature selection for classification

Accurately classifying malignancy of lesions detected in a screening sca...

Please sign up or login with your details

Forgot password? Click here to reset