Research ArticleOpen accessIn the abstractNovel Fuzzy Technique for Cancer Detection in Noisy Breast Ultrasound ImagesN. Alamelumangai, J. DeviShreeProblem statement: Detecting tumor areas in breast Ultrasound (US) images is a challenging task. The occurrence of benign areas in breast may result in false identification of malignant areas which may have serious outcome. Approach: The CAD system could act as a major function in the early detection of breast cancer and could decrease the death rate among women with … …American Journal of Applied Sciences, Vol. 9, Issue 5 · 12 Mar 2012 · 6,959 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Computer Aided Diagnosis System Based on Parallel Approach of Ant Based Medical Image SegmentationJayabalan Jaya, Keppanagowder ThanushkodiProblem statement: The aim of this study is to develop Computer Aided Diagnosis (CAD) system for the detection of brain tumor by using parallel implementation of ACO system for medical image segmentation applications due to the rapid execution for obtaining and extracting the Region of Interest (ROI) from the images for diagnostic purposes in medical field. Approach: For ROI segmentation, … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 8,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractTactile Distinction of an Artery and a Tumor in a Soft Tissue by Finite Element MethodAli Abouei Mehrizi, Siamak Najarian, Majid Moini, Farhad Tabatabai GhomsheTactile detection of a tumor and an artery in a tissue and distinction of a healthy artery from a stenotic artery, using finite element method, are presented. Four 2D models of tissue have been created: tissue itself, tissue including a tumor (TIT), tissue including a healthy artery (TIHA), and tissue including a stenotic artery (TISA). After solving four models with … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,596 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIdentification of Cancer: Mesothelioma’s Disease Using Logistic Regression and Association RuleAvishek ChoudhuryMalignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about seventy-five percent of all mesothelioma diagnosed yearly in the United States of America. Being a fatal disease, early identification of MPM is crucial … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 7,224 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEffect of Verapamil on Serum Level of Salinomycin in Diabetic RatsHossein Najafzadeh, Said Reza Fatemi, Amir AshnaProblem statement: The aim of present study was evaluation function of P-glycoprotein with or without verapamil in normal and diabetic rats; which the function of P-glycoprotein was indirectly evaluated by detection of serum slainomycin concentration with HPLC method. Approach: This study was carried in 4 groups of rats including normal rats which received salinomycin and verapamil together salinomycin; and diabetic … …American Journal of Applied Sciences, Vol. 8, Issue 9 · 1 Aug 2011 · 6,823 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDetection of IL-17 and IL-23 in Plasma Samples of Children with AutismAmanda Enstrom, Charity Onore, Irva Hertz-Picciotto et al.Interleukin-23 (IL-23) is a survival factor for a newly described population of T lymphocytes, namely Th-17 cells, that secrete IL-17, tumor necrosis factor- alpha (TNFα) and IL-6. It has been shown that Th-17 cells are a pathogenic T cell subset involved in autoimmune and chronic inflammatory diseases. Based on the increasing evidence of immune dysfunction in autism, including possible autoimmune … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 2 · 30 Jun 2008 · 8,223 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Hybrid Fuzzy Neural Networks for the Detection of Tumors in Medical ImagesN. Benamrane, A. Freville, R. NekkacheIn this study, we propose an approach to detect suspect zones or tumors in medical images. The idea is to define with precision the existence of different kinds of lesions using a hybrid system, which combines Fuzzy Neural Networks and Expert System. After applying a method of image segmentation to extract regions (by region growing algorithm or by mathematical morphology … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,873 accessesView PDFCite