Collaborative analysis of multi-gigapixel imaging data using Cytomine

被引:126
作者
Maree, Raphael [1 ,2 ,3 ]
Rollus, Loic [1 ,2 ]
Stevens, Benjamin [1 ,2 ]
Hoyoux, Renaud [1 ,2 ]
Louppe, Gilles [1 ,2 ]
Vandaele, Remy [1 ,2 ]
Begon, Jean-Michel [1 ,2 ]
Kainz, Philipp [4 ]
Geurts, Pierre [1 ,2 ]
Wehenkel, Louis [1 ,2 ]
机构
[1] Univ Liege, Dept Elect Engn & Comp Sci, Syst & Modeling, Liege, Belgium
[2] Univ Liege, GIGA Res, Liege, Belgium
[3] Inst Pasteur, Bioimage Anal Unit, Paris, France
[4] Med Univ Graz, Inst Biophys, Graz, Austria
关键词
BIOIMAGE INFORMATICS; PLATFORM;
D O I
10.1093/bioinformatics/btw013
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
Motivation: Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries. Results: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications.
引用
收藏
页码:1395 / 1401
页数:7
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