Human Autoimmune Diseases - 1086 Words

Abstract—Immune system failure can cause many human autoimmune diseases which make body produce antibodies in the blood which attack human antigens not foreign antigens and it can cause many serious and chronic illnesses. This phenomenon results in an auto-immune response which generate the auto-antibodies (ANAs) during this response. This auto-antibodies (ANAs) may be identified through the indirect immunofluorescence test (IIF). But unfortunately, today the IIF is still a subjective method as well as time and labor intensive. Thus, to address these problems, computer Aided Diagnostic (CAD) systems have been developed which automatically classify a human epithelial cells type-2 (HEp-2) cell images into one of its known patterns. This†¦show more content†¦Then, check them under a fluorescence microscope after adding a fluorescence tag which binds to the antibodies according to the type of present antibodies. Hep-2 cells take one of six different patterns which are: ho mogeneous, fine speckled and coarse speckled, centromere, nuclear, cytoplasmic [6]. However, IIF is a subjective method in discovering immune diseases, it depends too seriously on the experience of physicians and unfortunately the accuracy of inter-laboratories agreement drops to 76% for recognition of stained patterns which require more detailed diagnosis [7]. This drops is due to many reasons like the Quantitative information which supplied to physicians are not enough, reading from systems and optics are varying from each other, irradiation occurred through the photo-bleaching effect caused by the light [8] and the reproducibility of the diagnostic protocol is low [9]. In recent years, for these reasons and more there has been increasing interest in employing various image analysis techniques for classification of HEP-2 cells images. Many CAD systems which have been proposed in this field are concerned with shape and morphological features [10-23]. Cordelli et al. [11] consider a heterogeneous set of texture features belonging to different categories, statistical descriptors, spectral measures, local binary pattern (LBP) and morphological descriptors.Show MoreRelatedCoexistence of Autoimmune Disease with Type I Diabetes Mellitus in Libyan Patients2041 Words   |  8 PagesMATERIAL AND METHODS The prospective clinical study was undertaken on 849 patients admitted in endocrine department of Tripoli Medical Center from December 2007 to July 2008. From the patients files, the concomitant disease presence or absence was also recorded; especially with reference thyroid function. The important investigations as prescribed by the physician were also recorded. patient’s serum level of T4, T3, FT4, FT3 and TSH were measured for 748 patients. 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