An Automatic Tracking Method for Multiple Cells Based on Multi-Feature Fusion
An Automatic Tracking Method for Multiple Cells Based on Multi-Feature Fusion
复制标题
一种基于多特征融合的多小区自动跟踪方法
DOI：
10.1109/access.2018.2880563
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发表时间：
2018-11
期刊：
影响因子：
3.9
通讯作者：
Chen Shengyong
中科院分区：
文献类型：
--
作者：
Hu Haigen;Zhou Lili;Guan Qiu;Zhou Qianwei;Chen Shengyong
显微镜图像序列中的细胞自动跟踪在许多生物医学应用中是一项重要任务，特别是在抗癌药物分析方面。然而，由于细胞密度高、形状多变以及缺乏有效（此处句子不完整），它仍然是一个具有挑战性的问题。
Cells automatic tracking in microscopy image sequences is an important task in many biomedical applications, especially for the analysis of anticancer drugs. However, it is still a challenging problem due to the high density, variable shape, lack of effective feature information, and occlusion of the cells by division or fusion. In this paper, the aim is to develop a fully automatic and effective method to track hundreds of cells, and a multi-feature fusion re-tracking algorithm is proposed based on the tracking-by-detection scheme. First, a region proposal method based on faster R-CNN is presented to generate cell candidate proposals. Then, a cell tracking method is proposed by fusing the bounding box and feature vector of cell candidates based on the abovementioned results. Finally, a re-tracking algorithm is employed by integrating historical information of matching frame. A series of experiments is conducted to test and verify the validity on the datasets from ISBI Cell Tracking Challenge, and then, the proposed method is applied to the T24 dataset of bladder cancer cells from the Cancer Cell Institute, University of Cambridge. The experimental results are encouraging and show that the proposed method is competitive with other state-of-the-art methods, which means that there are probably potential applications in the field of biomedical engineering.
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影响因子：
10.6
作者：
Magnusson KE;Jalden J;Gilbert PM;Blau HM
通讯作者：
Blau HM
DOI：
10.1093/bioinformatics/btu080
发表时间：
2014-06-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Maška M;Ulman V;Svoboda D;Matula P;Matula P;Ederra C;Urbiola A;España T;Venkatesan S;Balak DM;Karas P;Bolcková T;Streitová M;Carthel C;Coraluppi S;Harder N;Rohr K;Magnusson KE;Jaldén J;Blau HM;Dzyubachyk O;Křížek P;Hagen GM;Pastor-Escuredo D;Jimenez-Carretero D;Ledesma-Carbayo MJ;Muñoz-Barrutia A;Meijering E;Kozubek M;Ortiz-de-Solorzano C
通讯作者：
Ortiz-de-Solorzano C
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
João F. Henriques;Rui Caseiro;P. Martins;Jorge Batista
通讯作者：
João F. Henriques;Rui Caseiro;P. Martins;Jorge Batista
影响因子：
3.3
作者：
Jiuqing Wan;Chen Xu;Zeng Xianhang
通讯作者：
Jiuqing Wan;Chen Xu;Zeng Xianhang
影响因子：
10.6
作者：
Engin Türetken;Xinchao Wang;C. Becker;Carsten Haubold;P. Fua
通讯作者：
Engin Türetken;Xinchao Wang;C. Becker;Carsten Haubold;P. Fua