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Influence of applied corneal endothelium image segmentation techniques on the clinical parameters.
Piorkowski, Adam; Nurzynska, Karolina; Gronkowska-Serafin, Jolanta; Selig, Bettina; Boldak, Cezary; Reska, Daniel.
Affiliation
  • Piorkowski A; AGH University of Science and Technology, Department of Geoinformatics and Applied Computer Science, Cracow, Poland.
  • Nurzynska K; Silesian University of Technology, Institute of Informatics, Gliwice, Poland. Electronic address: Karolina.Nurzynska@polsl.pl.
  • Gronkowska-Serafin J; Pomeranian Medical University, Department of Ophthalmology, Szczecin, Poland; Sygehus Sønderjylland, Department of Ophthalmology, Sønderborg, Denmark.
  • Selig B; Uppsala University, Centre for Image Analysis, Uppsala, Sweden.
  • Boldak C; Bialystok University of Technology, Faculty of Computer Science, Bialystok, Poland.
  • Reska D; Bialystok University of Technology, Faculty of Computer Science, Bialystok, Poland.
Comput Med Imaging Graph ; 55: 13-27, 2017 01.
Article in En | MEDLINE | ID: mdl-27553657
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted / Endothelium, Corneal / Microscopy Type of study: Guideline Limits: Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article Affiliation country: Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Processing, Computer-Assisted / Endothelium, Corneal / Microscopy Type of study: Guideline Limits: Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article Affiliation country: Country of publication: