A review of automatic mass detection and segmentation in mammographic images

A Oliver, J Freixenet, J Marti, E Perez, J Pont… - Medical image …, 2010 - Elsevier
The aim of this paper is to review existing approaches to the automatic detection and
segmentation of masses in mammographic images, highlighting the key-points and main …

Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images

DA Zebari, DQ Zeebaree, AM Abdulazeez… - Ieee …, 2020 - ieeexplore.ieee.org
Segmentation of the breast region and pectoral muscle are fundamental subsequent steps
in the process of Computer-Aided Diagnosis (CAD) systems. Segmenting the breast region …

A review of breast boundary and pectoral muscle segmentation methods in computer-aided detection/diagnosis of breast mammography

M Moghbel, CY Ooi, N Ismail, YW Hau… - Artificial Intelligence …, 2020 - Springer
Mammography can be considered as the current gold standard for detecting early signs of
breast cancer and is in wide use throughout the world. As confirmed by many studies, breast …

Visibility improvement and mass segmentation of mammogram images using quantile separated histogram equalisation with local contrast enhancement

B Gupta, M Tiwari… - CAAI Transactions on …, 2019 - Wiley Online Library
In this work, the authors develop a working software‐based approach named 'linearly
quantile separated histogram equalisation‐grey relational analysis' for mammogram image …

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 …

Technique for preprocessing of digital mammogram

IK Maitra, S Nag, SK Bandyopadhyay - Computer methods and programs …, 2012 - Elsevier
Digital mammogram has emerged as the most popular screening technique for early
detection of breast cancer and other abnormalities in human breast tissue. It provides us …

A hierarchical pipeline for breast boundary segmentation and calcification detection in mammograms

P Shi, J Zhong, A Rampun, H Wang - Computers in biology and medicine, 2018 - Elsevier
Breast cancer is one of the most common cancer risks to women in the world. Amongst
multiple breast imaging modalities, mammography has been widely used in breast cancer …

Mammogram image visual enhancement, mass segmentation and classification

N Al-Najdawi, M Biltawi, S Tedmori - Applied Soft Computing, 2015 - Elsevier
Mammography is the most effective technique for breast cancer screening and detection of
abnormalities. However, early detection of breast cancer is dependent on both the …

Contourlet-based mammography mass classification using the SVM family

F Moayedi, Z Azimifar, R Boostani, S Katebi - Computers in biology and …, 2010 - Elsevier
This paper is concerned with the design and development of an automatic mass
classification of mammograms. The proposed method consists of three stages. In the first …

A novel approach for breast cancer detection and segmentation in a mammogram

AK Singh, B Gupta - Procedia Computer Science, 2015 - Elsevier
Mammography is a well-known method used for the detection of breast cancer. Many
researchers worked in the area of breast cancer detection and proposed segmentation …