Discriminative Localized Sparse Representations for Breast Cancer Screening

11/20/2020
by   Sokratis Makrogiannis, et al.
0

Breast cancer is the most common cancer among women both in developed and developing countries. Early detection and diagnosis of breast cancer may reduce its mortality and improve the quality of life. Computer-aided detection (CADx) and computer-aided diagnosis (CAD) techniques have shown promise for reducing the burden of human expert reading and improve the accuracy and reproducibility of results. Sparse analysis techniques have produced relevant results for representing and recognizing imaging patterns. In this work we propose a method for Label Consistent Spatially Localized Ensemble Sparse Analysis (LC-SLESA). In this work we apply dictionary learning to our block based sparse analysis method to classify breast lesions as benign or malignant. The performance of our method in conjunction with LC-KSVD dictionary learning is evaluated using 10-, 20-, and 30-fold cross validation on the MIAS dataset. Our results indicate that the proposed sparse analyses may be a useful component for breast cancer screening applications.

READ FULL TEXT

Authors

page 11

01/24/2021

DenseNet for Breast Tumor Classification in Mammographic Images

Breast cancer is the most common invasive cancer in women, and the secon...
09/30/2020

Deep Learning Based Computer-Aided Systems for Breast Cancer Imaging : A Critical Review

This paper provides a critical review of the literature on deep learning...
03/10/2020

Deep learning approach for breast cancer diagnosis

Breast cancer is one of the leading fatal disease worldwide with high ri...
08/12/2013

Local image registration a comparison for bilateral registration mammography

Early tumor detection is key in reducing the number of breast cancer dea...
12/20/2017

Detection and classification of masses in mammographic images in a multi-kernel approach

According to the World Health Organization, breast cancer is the main ca...
09/15/2014

A feasible roadmap for developing volumetric probability atlas of localized prostate cancer

A statistical volumetric model, showing the probability map of localized...
02/08/2022

A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography

Breast cancer is a disease that threatens many women's life, thus, early...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.