| 書目名稱 | Cellular Image Classification |
| 編輯 | Xiang Xu,Xingkun Wu,Feng Lin |
| 視頻video | http://file.papertrans.cn/224/223031/223031.mp4 |
| 概述 | Introduces new techniques for cellular image feature extraction, pattern recognition and classification.Illustrates applications of methods by using the antinuclear antibodies (ANAs) in patient serum |
| 圖書封面 |  |
| 描述 | This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods. Throughout the book, the authors provide evaluations for the proposed methods on two publicly available human epithelial (HEp-2) cell datasets: ICPR2012 dataset from the ICPR‘12 HEp-2 cell classification contest and ICIP2013 training dataset from the ICIP‘13 Competition on cells classification by fluorescent image analysis..?.First, the reading of imaging results is significantly influenced by one’s qualification and reading systems, causing high intra- and inter-laboratory variance. The authors present a low-order LP21 fiber mode for optical single cell manipulation and imaging staining patterns of HEp-2 cells. A focused four-lobed mode distribution is stable and effective in optical tweezer applications, including selective cell pick-up, pairing, grouping or separation, as well as rotation of cell dimers and clusters. Both translational dragging force and |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Biomedical imaging; Optical systems; Cellular imaging; Human epithelial (HEp-2) cell; Antinuclear antibo |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-47629-2 |
| isbn_softcover | 978-3-319-83786-4 |
| isbn_ebook | 978-3-319-47629-2 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機版|小黑屋|
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