The Cell Tracking Challenge: 10 years of objective benchmarking.

Autor: 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.

Publikováno v: Nature methods [Nat Methods] 2023 Jul; Vol. 20 (7), pp. 1010-1020. Date of Electronic Publication: 2023 May 18.

Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images.

Autor: Rahmon G; Dept. of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA., Toubal IE; Dept. of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA., Palaniappan K; Dept. of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA.

Publikováno v: IEEE Applied Imagery Pattern Recognition Workshop : [proceedings]. IEEE Applied Imagery Pattern Recognition Workshop [IEEE Appl Imag Pattern Recognit Workshop] 2021 Oct; Vol. 2021. Date of Electronic Publication: 2022 Apr 26.