A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry

SD Tzikopoulos, ME Mavroforakis, HV Georgiou… - computer methods and …, 2011 - Elsevier
This paper presents a fully automated segmentation and classification scheme for
mammograms, based on breast density estimation and detection of asymmetry. First, image …

Automated assessment of breast tissue density in digital mammograms

TS Subashini, V Ramalingam, S Palanivel - Computer Vision and Image …, 2010 - Elsevier
Mammographic density is known to be an important indicator of breast cancer risk.
Classification of mammographic density based on statistical features has been investigated …

A novel breast tissue density classification methodology

A Oliver, J Freixenet, R Marti, J Pont… - Ieee transactions on …, 2008 - ieeexplore.ieee.org
It has been shown that the accuracy of mammographic abnormality detection methods is
strongly dependent on the breast tissue characteristics, where a dense breast drastically …

[PDF][PDF] Classification of mammographic breast density using a combined classifier paradigm

K Bovis, S Singh - 4th international workshop on digital mammography, 2002 - Citeseer
In this paper we investigate a new approach to the classification of mammographic images
according to breast type. The classification of breast density in this study is motivated by its …

Automatic classification of breast tissue

A Oliver, J Freixenet, A Bosch, D Raba… - Pattern Recognition and …, 2005 - Springer
A recent trend in digital mammography are CAD systems, which are computerized tools
designed to help radiologists. Most of these systems are used for the automatic detection of …

A comparison of breast tissue classification techniques

A Oliver, J Freixenet, R Martí, R Zwiggelaar - Medical Image Computing …, 2006 - Springer
It is widely accepted in the medical community that breast tissue density is an important risk
factor for the development of breast cancer. Thus, the development of reliable automatic …

Automatic breast density segmentation: an integration of different approaches

MGJ Kallenberg, M Lokate, CH Van Gils… - Physics in Medicine …, 2011 - iopscience.iop.org
Mammographic breast density has been found to be a strong risk factor for breast cancer. In
most studies, it is assessed with a user-assisted threshold method, which is time consuming …

Breast density segmentation using texture

S Petroudi, M Brady - International Workshop on Digital Mammography, 2006 - Springer
This paper describes an algorithm to segment mammo-graphic images into regions
corresponding to different densities. The breast parenchymal segmentation uses information …

Detection of masses in mammograms with adaption to breast density using genetic algorithm, phylogenetic trees, LBP and SVM

WB de Sampaio, AC Silva, AC de Paiva… - Expert Systems with …, 2015 - Elsevier
Breast cancer is the second commonest type of cancer in the world, and the commonest
among women, corresponding to 22% of the new cases every year. This work presents a …

[HTML][HTML] CFS–SMO based classification of breast density using multiple texture models

V Sharma, S Singh - Medical & biological engineering & computing, 2014 - Springer
It is highly acknowledged in the medical profession that density of breast tissue is a major
cause for the growth of breast cancer. Increased breast density was found to be linked with …