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 …

Review of recent advances in segmentation of the breast boundary and the pectoral muscle in mammograms

M Mustra, M Grgic, RM Rangayyan - Medical & biological engineering & …, 2016 - Springer
This paper presents a review of recent advances in the development of methods for
segmentation of the breast boundary and the pectoral muscle in mammograms. Regardless …

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 …

Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images

U Raghavendra, UR Acharya, H Fujita, A Gudigar… - Applied Soft …, 2016 - Elsevier
Breast cancer is one of the prime causes of death in women. Early detection may help to
improve the survival rate to a great extent. Mammography is considered as one of the most …

Fully automated breast boundary and pectoral muscle segmentation in mammograms

A Rampun, PJ Morrow, BW Scotney… - Artificial intelligence in …, 2017 - Elsevier
Breast and pectoral muscle segmentation is an essential pre-processing step for the
subsequent processes in computer aided diagnosis (CAD) systems. Estimating the breast …

Breast mass detection in digital mammogram based on gestalt psychology

H Wang, J Feng, Q Bu, F Liu, M Zhang… - Journal of Healthcare …, 2018 - Wiley Online Library
Inspired by gestalt psychology, we combine human cognitive characteristics with knowledge
of radiologists in medical image analysis. In this paper, a novel framework is proposed to …

Identification of mammography anomalies for breast cancer detection by an ensemble of classification models based on artificial immune system

G Magna, P Casti, SV Jayaraman, M Salmeri… - Knowledge-Based …, 2016 - Elsevier
The interpretation of diagnostic images is often conditioned by the specific properties of the
instrument that generated the image. This makes particularly complicated to develop …

Analysis of structural similarity in mammograms for detection of bilateral asymmetry

P Casti, A Mencattini, M Salmeri… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
We hypothesize that quantification of structural similarity or dissimilarity between paired
mammographic regions can be effective in detecting asymmetric signs of breast cancer …

Contour-independent detection and classification of mammographic lesions

P Casti, A Mencattini, M Salmeri, A Ancona… - … Signal Processing and …, 2016 - Elsevier
We present a multistage approach to detection and classification of mammographic lesions
that is independent of accurate extraction of their contours. The ultimate goal is to …