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

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

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...

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書目詳細資料
主要作者:	Nasseri, Mahsa
格式:	Thesis
語言:	English
出版:	2015
主題:	TK Electrical engineering Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/id/eprint/54630/1/MahsaNasseriMFKE2015.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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