Breast cancer is one of the most common forms of cancer in women. In order to reduce the death rate , early detection of cancerous regions in mammogram images is needed. The existing system is not so accurate and it is time consuming. The Proposed system is mainly used for automatic segmentation of the mammogram images and classifies them as benign, malignant or normal based on the decision tre...

This work presents the dynamic graph cut based Otsu's method to segment the masses in mammogram images. Major concern that threatens human life is cancer. Breast cancer is the most common type of disease among women in India and abroad. Breast cancer increases the mortality rate in India especially in women since it is considered to be the second largest form of disease which leads to death. Ma...

OBJECTIVE To assess the accuracy in the prediction of both early and late preeclampsia by flow-mediated dilation of the brachial artery (FMD), a biophysical marker for endothelial dysfunction. MATERIALS AND METHODS A total of 91 patients, considered at high risk for development of preeclampsia were submitted to brachial artery FMD between 24 and 28 weeks of gestation. RESULTS Nineteen out o...

due to the importance of the import management, this study applies generalized ardl approach to estimate midas regression for wheat import value and to compare the accuracy of forecasts with those competed by the regression with adjusted data model. mixed frequency sampling models aim to extract information with high frequency indicators so that independent variables with lower frequencies are ...

We compare statistical and economic measures of forecasting performance across a large set of stock return prediction models with time-varying mean and volatility. We find that it is very common for models to produce higher out-of-sample mean squared forecast errors than a model assuming a constant equity premium, yet simultaneously add economic value when their forecasts are used to guide port...

BACKGROUND Histological chorioamnionitis (HC) is an intrauterine inflammatory process highly associated with preterm birth and adverse neonatal outcome. HC is often clinically silent and diagnosed postnatally by placental histology. Earlier identification could facilitate treatment individualisation to improve outcome in preterm newborns. AIM Develop a clinical prediction rule at birth for HC...

objective: to determine the diagnostic value of serum white blood cell (wbc) count, fever (>38˚c) and wbc rise (>10%) for bacterial meningitis in patients with severe traumatic brain injury (tbi). m et h o d : this cross-sectional study was conducted in shahid rajaei hospital affiliated with shiraz university of medical sciences during a 1-year period from 2013 to 2014. we included consecutivel...

Data dependencies between instructions greatly impede instruction-level parallelism. Recently two hardware techniques – Value Prediction and Value Reuse – have been proposed to overcome the limits imposed by data dependencies. We introduce a new hardware scheme for exploiting speculative value reuse by using value prediction. We propose a new microarchitecture which uses value prediction to pro...

Due to their occasional very long latency, load instructions are among the slowest instructions of current highperformance microprocessors. Unfortunately, their long latency also delays the execution of all the dependent instructions, which can significantly affect system performance. Load value prediction alleviates this problem by allowing the CPU to speculatively continue processing without ...