Human epithelial type 2 cell classification based on concatenated features and machine learning algorithms

• Main Author: Nasseri, Mahsa
• Format: Thesis
• Language: English
• Published: 2015
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/54630/1/MahsaNasseriMFKE2015.pdf; http://eprints.utm.my/id/eprint/54630/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:86083

Medical researches show that Autoimmune Diseases (AD) are among the top ten leading causes of death among women in all age groups. The detection of AD in human body is performed by testing a type of antinuclear antibody, Human Epithelial Type 2 (HEp-2). The indirect immunofluorescence (IIF) imaging...