요약정보
The Cell Tracking Challenge: 10 years of objective benchmarking.
- Resource Type
- Academic Journal
- Authors
- Maška M; Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic.; Ulman V; Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic.; IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava, Ostrava, Czech Republic.; Delgado-Rodriguez P; Bioengineering Department, Universidad Carlos III de Madrid, Madrid, Spain.; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.; Gómez-de-Mariscal E; Bioengineering Department, Universidad Carlos III de Madrid, Madrid, Spain.; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.; Optical Cell Biology, Instituto Gulbenkian de Ciência, Oeiras, Portugal.; Nečasová T; Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic.; Guerrero Peña FA; Centro de Informatica, Universidade Federal de Pernambuco, Recife, Brazil.; Center for Advanced Methods in Biological Image Analysis, Beckman Institute, California Institute of Technology, Pasadena, CA, USA.; Ren TI; Centro de Informatica, Universidade Federal de Pernambuco, Recife, Brazil.; Meyerowitz EM; Division of Biology and Biological Engineering and Howard Hughes Medical Institute, California Institute of Technology, Pasadena, CA, USA.; Scherr T; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.; Löffler K; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.; Mikut R; Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany.; Guo T; The Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.; Wang Y; The Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.; Allebach JP; The Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.; Bao R; Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.; CIVA Lab, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.; Al-Shakarji NM; CIVA Lab, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.; Rahmon G; CIVA Lab, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.; Toubal IE; CIVA Lab, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.; Palaniappan K; CIVA Lab, Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, USA.; Lux F; Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic.; Matula P; Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic.; Sugawara K; Institut de Génomique Fonctionnelle de Lyon (IGFL), École Normale Supérieure de Lyon, Lyon, France.; Centre National de la Recherche Scientifique (CNRS), Paris, France.; Magnusson KEG; Raysearch Laboratories AB, Stockholm, Sweden.; Aho L; Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA.; Cohen AR; Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA, USA.; Arbelle A; School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beersheba, Israel.; Ben-Haim T; School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beersheba, Israel.; Raviv TR; School of Electrical and Computer Engineering, Ben-Gurion University of the Negev, Beersheba, Israel.; Isensee F; Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Jäger PF; Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Interactive Machine Learning Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Maier-Hein KH; Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.; Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.; Zhu Y; School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia.; Griffith University, Nathan, Queensland, Australia.; Ederra C; Biomedical Engineering Program and Ciberonc, Center for Applied Medical Research, Universidad de Navarra, Pamplona, Spain.; Urbiola A; Biomedical Engineering Program and Ciberonc, Center for Applied Medical Research, Universidad de Navarra, Pamplona, Spain.; Meijering E; School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia.; Cunha A; Center for Advanced Methods in Biological Image Analysis, Beckman Institute, California Institute of Technology, Pasadena, CA, USA.; Muñoz-Barrutia A; Bioengineering Department, Universidad Carlos III de Madrid, Madrid, Spain.; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.; Kozubek M; Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic. kozubek@fi.muni.cz.; Ortiz-de-Solórzano C; Biomedical Engineering Program and Ciberonc, Center for Applied Medical Research, Universidad de Navarra, Pamplona, Spain. codesolorzano@unav.es.
- Source
- Publisher:
Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN:15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE - Subject
- Language
- English