Background: Breast cancer (BC) is commonest among patients, required early detection to be cured. Multiple techniques are used for the diagnosis of BC but mammography a commonly available and effective tool around world due its ability diagnose before it becomes palpable, in reward treatment cost also decreases. Computer-aided (CAD) advanced research support medical practitioners diagnosis.&#x0...

ss as: Z.A rnal of and host s.2013.0 Abstract In this paper, we propose a novel algorithm to detect the suspicious regions on digital mammograms that based on the Fisher information measure. The proposed algorithm is tested different types and categories of mammograms (fatty, fatty-glandular and dense glandular) within mini-MIAS database (Mammogram Image Analysis Society database (UK)). The pro...

Microcalcification clusters in mammograms are an important early sign of breast cancer. Varying densities of parenchymal tissue make visual detection of these masses very difficult. Computeraided diagnosis using wavelet transform is recently being used to improve the diagnostic accuracy and efficiency of screening mammography. Wavelet coeffcients describe the local geometry of an image in terms...

Currently, the Breast Imaging Reporting and Data System (BIRADS) density categorization is the most popular tool for density assessment among radiologists. However, it is subject to interobserver variabilities. Therefore, different automated methods have been proposed for dense tissue segmentation. In [1], a technique based on modeling of breast tissue using a Gaussian mixture model was propose...

We study individuals’ decisions to decline or accept preventive health care interventions such as flu shots and mammograms. In particular, we analyze the role of perceptions of the effectiveness of the intervention, by eliciting individuals' subjective probabilities of sickness and survival, with and without the interventions. Respondents appear to be aware of some of the qualitative relationsh...

We present an image-processing method that enhances the detection of regions of higher absorbance in optical mammograms. At the heart of this method lies a second-derivative operator that is commonly employed in edge-detection algorithms. The resulting images possess a high contrast, an automatic display scale, and a greater sensitivity to smaller departures from the local background absorbance...

Background: Breast cancer is the most commonly diagnosed in women. early detection a programthat combines diagnosis for symptomatic patients with opportunistic breast clinical examination screening. Thisstudy was conducted to demonstrate drawback of screening.Methodology: A group 200 were consulted at women’s health center AL-Elweiya maternityteaching hospital Baghdad between January 2021 and J...

Introduction: To write a computational program to calculate the average glandular dose in Mammography with Rh-Rh target-filter and also use it as an accurate and fast method of dose calculation founder different situations. Materials and Methods: In this research, the Sobol-Wu parameters are used to write a FORTRAN code for glandular dose calculation in Rh-Rh target-filter mammograms. The code ...