نتایج جستجو برای: filter mammograms

تعداد نتایج: 125500  

2012
Marcus Karnan

The aim of this research is the development of a reliable tool to detect early signs of breast cancer in mammographic images. Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death of female worldwide. Mammogram is one of the most excellent technologies currently being used for diagnosing breast cancer. In this paper, the Enhanced Artificial Bee Colony Optim...

2016
P. Shanmugavadivu V. Sivakumar

Digital mammogram has become the reliable and most effective screening method for the early detection of breast cancer. A novel Fractal Hurst-based Gamma Transformation (FHGT) is presented in this paper for the segmentation of masses from mammograms. This method is a composition of two mechanisms namely detection of masses from digital mammograms and the segmentation of those detected masses. T...

2017
Saurabh Sharma Ashish Oberoi Yogesh Chauhan A. Boucher P. E. Jouve F. Cloppet N. Vincent M. Salmeri R. Lojacono M. Frigerio D. Guliato R. M. Rangayyan J. D. Carvalho S. Liu C. F. Babbs H. Li Y. Wang K. J. Ray Liu

Mammography is the most effective procedure for the early detection of breast cancer. The segmentation of mammograms plays a major role in isolating areas which can be subject to tumors. The identification of these zones is generally done in three stages: pectoral muscle segmentation, hard density zone detection and texture analysis of regions of interest. In this paper, a novel algorithm for d...

2005
Arnau Oliver Jordi Freixenet Joan Martí Marta Peracaula

As an ongoing effort to develop a computer aided system for the detection of masses on mammograms, we propose on this work a new model-based segmentation algorithm. The algorithm is based on a template matching scheme by using the mutual information approach in the similarity metric. Thus, the system will be able to determine if it exists a true mass on the studying image. The proposal was deve...

Journal: :Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2001
G Ursin Y R Parisky M C Pike D V Spicer

The ability to detect small tumors is impaired in dense mammograms. It has been suggested that the sensitivity of mammograms could be lower in mammograms obtained during the luteal phase of the menstrual cycle. We examined the change in mammographic density from the follicular to the luteal phase of the menstrual cycle in 11 women. Although the average increase in densities was quite small (1.2...

Journal: :Journal of women's health 2012
Garth H Rauscher Kristi L Allgood Steve Whitman Emily Conant

BACKGROUND Black and Hispanic women are diagnosed at a later stage of breast cancer than white women. Differential access to specialists, diffusion of technology, and affiliation with an academic medical center may be related to this stage disparity. METHODS We analyzed data from a mammography facility survey for the metropolitan region of Chicago, Illinois, to assess in part whether quality ...

Journal: :Arteriosclerosis, thrombosis, and vascular biology 2015
Ekamol Tantisattamo Kum Hyun Han W Charles O'Neill

OBJECTIVE Matrix gla protein is a vitamin K-dependent inhibitor of medial arterial calcification whose synthesis and activity are blocked by warfarin. Warfarin induces arterial calcification in experimental models, but whether this occurs in humans is unclear. This was addressed by examining breast arterial calcification, which is exclusively medial and easily identified on mammograms. APPROA...

2013
Ruriha Yoshikawa Atsushi Teramoto Tomoko Matsubara

Ruriha Yoshikawa, Atsushi Teramoto, Tomoko Matsubara ,Hiroshi Fujita 1. Graduate School of Fujita Health University, Health Sciences 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi 470-1192, Japan 2. Nagoya Bunri University, Department of Information and Media, 365 Maeda, Inazawa-cho, Inazawa, Aichi 492-8520, Japan 3. Department of Intelligent Image Information, Graduate School of Medicine, G...

2017
Mohsin Jadoon Qianni Zhang Ihsan Ul Haq Adeel Jadoon Abdul Basit Sharjeel Butt

In this paper, classification of mammograms for breast cancer detection based on Discrete Curvelet Transform (DCT) and Multi-Layer Perceptron (MLP) is proposed. The mammogram patches are first filtered by Column wise neighborhood operations Filter (COLFILT). Enhanced patches are further decomposed into four sub-bands by using DCT. Dense Scale Invariant Feature Transform (DSIFT) method is use to...

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