Enhancement of mammography images considers as powerful methods in categorization breast normal tissues and pathologies.The digital image software gives chance to improve the mammographs increasing their illustration value.The processing this paper were using contrast improvement, noise lessening, texture scrutiny portioning algorithm.The kept high quality conserve quality.Those aim augment hone intensity eliminate from images.The assortment factor augmentation depends on backdrop type...

Nowadays, millions of studies perform daily around the world. Medical imaging developed throughout for >100 years. It is used to visualize different body structure and functional activities. This information useful in judgment management pathological conditions. study aimed historical development medical modulates. The new technologies decrease radiation dose least levels.

The detection of ischemia heart disease was usually scored by a trained nuclear medicine Physician determining the location and size subjectively (by eyes). This subjective method will add to 5% tolerance error, which might compromise whole process treatment especially in patients with severe conditions. aim this study is increase edge recognition cardiac scintography images ischemic using L*a*b* color space K-means clustering. First, we read images. We then convert form RGB space. Then...

This paper addresses the problem of autonomous trajectory learning in unknown environments through non-point based maps directly laser data. Our approach to solve is upon hypothesis that low-dimensional manifolds scanning data, there lies an eigenvector which corresponds free configuration space high order geometric representation environment. The vectorial combination all these eigen-vectors at discrete time scan-frames manifest a trajectory, and once followed mapped onto two control...

Ultrasound consider of one the most important tool in analysis fetus development. In ultrasound images, recognition closely adjacent tissues is very crucial process because noise that affected both image quality and sharpness. This study conducted to images improvement using HAT-TOP transform as computing choice order increase diagnostic accuracy diagnosis neonatal diseases. Many image-processing techniques were used improve including Using Blind Deconvolution Algorithm. The results showed...

The computed tomography has huge role in the assessment of hemorrhagic lesions brain. Physicians widely use CT to delineate size and magnitude bleeding. In medical image processing, separation detection objects is very crucial issue. water-based segmentation (subdivision) an approach that detect closely contact margins tissues within images. Manual outlining stroke images considers as subjective operation takes long time with less accuracy. this study, were detected firstly followed by...

In liver, separating touching objects in an image is one of the more difficult processing operations. Because presence speckle noise these images affects edges and fine details which limit contrast resolution make diagnostic difficult. Thus, with using segmentation based algorithm, choice appropriate technique type for each circumstance becomes essential task. The watershed transform often applied to this problem. finds "catchment basins" "watershed ridge lines" by treating it as a surface...

Introduction: Nursing is an important profession in the Kingdom of Saudi Arabia, with nurses comprising more than 80% individuals providing health care services, which will increase by 2030. Therefore, developing and maintaining effective nursing leadership critical to achieving organizational goals quality despite challenging healthcare environment. Methods: The data were collected through distribution two tools, Hospital Anxiety Depression Scale, as a tool evaluate stress, Leadership Style...

Mammography x-rays uses to demonstrate different lesions among women by using ionizing radiation.This irradiation exposes the patient slight high radiation amounts.This study conducted in amongst mammography patients Khartoum, Sudan.The sample magnitude was 100 whose types of diseases.All were underwent mammography.The factors documented this patient's characteristics and exposure related factors.The mean MGD values calculated 3.6 + 0.29 (p<0.05).Those results suggestively more than standard...

Recognition of the Salivary glands in nuclear medicine examination is very difficult because unclear borders and existence noise, which affects spatial resolution reduces diagnostic values those images Therefore, image-processing programs such as MatLab, has powerful tools, can use for solving problems. The Morphology tool frequently applied to this problem. In paper, I used entropyfilt function create a texture image. This returns an array where each output pixel contains entropy value...

Ectopic Pregnancy (EP) is a serious emergency faced by physicians in obstetrics and gynaecology, the identification of EP can be frequently missed. The common signs ectopic pregnancy fertile women are lower abdominal discomfort vaginal hemorrhage. aim this paper was to study patients determine etiology management EP. This aims hazardous factors, types, clinical complications associated with patients, as well diagnostic methods prognosis. retrospective cohort performed at King Khalid...