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17 articles for “suspicious”
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Research ArticleOpen accessIn the abstractA HYBRID FIREFLY ALGORITHM WITH FUZZY-C MEAN ALGORITHM FOR MRI BRAIN SEGMENTATIONMutasem K. AlsmadiImage processing is one of the essential tasks to extract suspicious region and robust features from the Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of brain tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is … …American Journal of Applied Sciences, Vol. 11, Issue 9 · 10 Sep 2014 · 8,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Overview of Research Challenges for Classification of Cardiotocogram DataC. Sundar, M. Chitradevi, G. GeetharamaniCardiotocography (CTG) is a simultaneous recording of Fetal Heart Rate (FHR) and Uterine Contractions (UC). The most common diagnostic techniques to evaluate maternal and fetal well-being during pregnancy and before delivery. By observing the Cardiotocography trace patterns doctors can understand the state of the fetus. There are several signal processing and computer programming based techniques for interpreting a typical Cardiotocography … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlea Infestation in Farm Animals and its Zoonotic Importance in East-Azerbaijan ProvinceGaredaghi YagoobProblem statement: Most fleas infest their host temporarily then pass to another of the same kind, while others move from one to a different host species. Although the comprehensive list of fleas reported from Iran, but there still exists considerable gap in our knowledge of zoonotic aspect of flea infestation. The present study was undertaken to determine correlation between domestic … …American Journal of Animal and Veterinary Sciences, Vol. 6, Issue 4 · 13 Jan 2012 · 8,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting the Severity of Breast Masses with Ensemble of Bayesian ClassifiersAlaa M. ElsayadProblem statement: This study evaluated two different Bayesian classifiers; tree augmented Naive Bayes and Markov blanket estimation networks in order to build an ensemble model for prediction the severity of breast masses. The objective of the proposed algorithm was to help physicians in their decisions to perform a breast biopsy on a suspicious lesion seen in a mammogram image or … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,299 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction for Characterization of Breast Lesions in Ultrasound Echography and ElastographyShirley Selvan, M. Kavitha, S. Shenbagadevi, S. SureshProblem statement: Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. We propose an automatic feature extraction method in ultrasound elastography and echography for characterization of breast lesions. Approach: The proposed algorithm was tested on 40 pairs of biopsy proven ultrasound elastography and echography images of which 11 are cystic, 16 … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effects of Recombinant Human Erythropoietin and Tamoxifen on Growth and Angiogenesis of Mammary Tumor in Sprague-Dawley RatA. K. Sairah, A. Rasedee, O. Sheikh et al.Problem statement: Erythropoietin receptor (EPOR) has been detected in breast cancer cells and speculated to be involved in cancer growth, viability and angiogenesis. This has risen suspicious that EPO administration may enhance the severity of cancer. Approach: This study was undertaken to determine the effects of rHuEPO, Tamoxifen and their combination on the growth and angiogenesis of mammary tumor. Female … …American Journal of Pharmacology and Toxicology, Vol. 4, Issue 1 · 31 Mar 2009 · 7,804 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomated Camera Monitoring System for Selective Areas of InterestNael HirzallahMonitoring a number of security cameras by security guards suffers from a number of difficulties especially when the events to be watched for may take months to occur or a large number of cameras exist. Furthermore, finding and hiring people for such tasks is usually expensive. Therefore, there are immediate needs for automated surveillance systems that save money, work in … …Journal of Computer Science, Vol. 3, Issue 2 · 28 Feb 2007 · 7,205 accessesView PDFCite