Computer-aided detection and diagnosis of breast cancer with mammography: recent advances

J Tang, RM Rangayyan, J Xu… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Breast cancer is the second-most common and leading cause of cancer death among
women. It has become a major health issue in the world over the past 50 years, and its …

Deep learning capabilities for the categorization of microcalcification

K Kumar Singh, S Kumar, M Antonakakis… - International Journal of …, 2022 - mdpi.com
Breast cancer is the most common cancer in women worldwide. It is the most frequently
diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of …

Computer aided detection of microcalcifications in digital mammograms adopting a wavelet decomposition

M Rizzi, M D'Aloia… - Integrated Computer-Aided …, 2009 - content.iospress.com
Over recent years breast cancer prevention campaigns have resulted in widespread
screening. Until now, mammography has been one of the most reliable methods for the early …

A Hybrid Image Filtering Method for Computer‐Aided Detection of Microcalcification Clusters in Mammograms

X Zhang, N Homma, S Goto… - Journal of Medical …, 2013 - Wiley Online Library
The presence of microcalcification clusters (MCs) in mammogram is a major indicator of
breast cancer. Detection of an MC is one of the key issues for breast cancer control. In this …

[PDF][PDF] A Survey on the Analysis of SegmentationTechniques in Mammogram Images

MP Sukassini, T Velmurugan - Indian Journal of Science and Technology, 2015 - Citeseer
Abstract Background/Objectives: Images are the most effective way of revealinginformation
to the world. Images are analysed and processed by computerized techniquesto extract …

Detection of microcalcification clusters in digitized X-ray mammograms using unsharp masking and image statistics

P KUŞ, İ KARAGÖZ - Turkish Journal of Electrical Engineering …, 2013 - journals.tubitak.gov.tr
A fully automated method for detecting microcalcification (MC) clusters in regions of interest
(ROIs) extracted from digitized X-ray mammograms is proposed. In the first stage, an …

A new approach for detecting abnormalities in mammograms using a computer-aided windowing system based on Otsu's method

S Mohammadi-Sardo, F Labibi, SA Shafiei - Radiological physics and …, 2019 - Springer
Breast cancer is the most common cancer and the leading cause of cancer deaths in women
worldwide. This study aimed to provide an automatic windowing method in mammograms …

Parallelization of algorithms for linear discrete optimization using paraphrase

M Rossbory, W Reisner - 2013 24th International Workshop on …, 2013 - ieeexplore.ieee.org
In industry optimization of processes, production planing, or resource usage is important to
reduce costs and increase profit. Mathematical models for optimization can contribute to …

Wavelet and curvelet transforms for biomedical image processing

M Saha, MK Naskar, BN Chatterji - Handbook of Research on …, 2018 - igi-global.com
This chapter introduces two mathematical transforms—wavelet and curvelet—in the field of
biomedical imaging. Presenting the theoretical background with relevant properties, the …

[PDF][PDF] Computer aided detection of microcalcification clusters in mammogram images with machine learning approach

I Iseri, C Oz - Optoelectronics and Advanced Materials, 2014 - researchgate.net
Breast cancer has increased significantly in recent years and continues to be an important
problem that threatens the health of women all around the world. According to the latest …