نتایج جستجو برای: digital mammogram

تعداد نتایج: 309433  

Journal: :iranian journal of cancer prevention 0
abdulaziz aflakseir dept. of clinical psychology, university of shiraz, shiraz, iran parinaz abbasi dept. of psychology, university of tabriz, tabriz, iran

background: the purpose of the present study was to investigate the frequency of getting such health screenings as mammography and breast self-examination among a group of women and also to identify the role of health beliefs in predicting mammography practice. method s: the data were collected from a convenience sample of 113 female staff at the university of shiraz and shiraz university of me...

Introduction: In this paper, a method is presented to classify the breast cancer masses according to new geometric features. Methods: After obtaining digital breast mammogram images from the digital database for screening mammography (DDSM), image preprocessing was performed. Then, by using image processing methods, an algorithm was developed for automatic extracting of masses from other norma...

2004
Tomasz Arodź Marcin Kurdziel Tadeusz Popiela Erik O. D. Sevre David A. Yuen

The most frequent symptoms of ductal carcinoma recognized by mammography are clusters of microcalcifications. Their detection from mammograms is difficult, especially for glandular breasts. We present a new system for computer-aided diagnosis of breast carcinoma, from digital mammograms. The images are processed in several steps. First, we filter the original picture with a filter that is sensi...

Journal: :avicenna journal of neuro psycho physiology 0
shahla nasrolahi research center of endometrium and endometriosis, hamadan university of medical sciences,hamadan, ir iran; faculty of medicine, hamadan university of medical sciences, hamadan, ir iran nasrin matinnia department of nursing, islamic azad university, hamadan, ir iran; research center for behavioral disorders and substances abuse, hamadan university of medical sciences, hamadan, ir iran mohammad haghighi faculty of medicine, hamadan university of medical sciences, hamadan, ir iran; research center for behavioral disorders and substances abuse, hamadan university of medical sciences, hamadan, ir iran mohammad ali seif rabiei faculty of medicine, hamadan university of medical sciences, hamadan, ir iran marjan ghahri saremi faculty of medicine, hamadan university of medical sciences, hamadan, ir iran ali ghaleiha faculty of medicine, hamadan university of medical sciences, hamadan, ir iran; research center for behavioral disorders and substances abuse, hamadan university of medical sciences, hamadan, ir iran; research center for behavioral disorders and substances abuse, hamadan university of medical sciences, hamadan, ir iran. tel: +98-9123378337, fax: +98-81138271066

background the mammograms and papanicolaou (pap) test of women aged 25 to 64 years are iran’s national strategy for breast and cervical cancer screening, respectively. widespread primary care services are supplied through a network of primary health centers; nonetheless, little is known about breast and cervical cancer screening-related practices among healthcare workers in hospitals. objective...

Journal: :Medical physics 2003
Kirsi Nykänen Samuli Siltanen

Effects of x-ray scattering on full-field digital mammography are analyzed with the scattering model of Seibert and Boone [Med. Phys. 15, 567-575 (1988)]. A new method is introduced for the estimation of model parameters from measurements. It is shown that with breasts thinner than a certain threshold, removing the anti-scatter grid leads to an improved contrast-to-noise ratio with a smaller pa...

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...

2014
Balasubramaniam Senthilkumar Govindaswamy Umamaheswari

Aim. This paper describes the digital implementation of a mathematical transform namely 2D Fast Discrete Curvelet Transform (FDCT) via UnequiSpaced Fast Fourier Transform (USFFT) in combination with the novel segmentation method for effective detection of breast cancer. Methods. USFFT performs exact reconstructions with high image clarity. Radon, ridgelet and Cartesian filters are included in t...

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