0365674 20240111140801.820111031235959.9 12 s. www cav_un_epca*0365673978-3-642-24081-2Lecture Notes in Computer Science622-633Berlin HeidelbergSpringer-Verlag2011 fluorescence in-situ hybridization image processing image segmentation cav_un_auth*0101190 Schier Jan Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101136 Kovář Bohumil Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0275271 Kočárek E. CZ cav_un_auth*0218430 Kuneš Michal Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. PDF http://library.utia.cas.cz/separaty/2011/ZS/shier-image processing for automated analysis of the fluorescence in-situ hybridization (fish) microscopic images.pdf TA01010931 GA TA ČR cav_un_auth*0272418 CEZ:AV0Z10750506 The paper describes automated segmentation and analysis of the microscopic images resulting from fluorescence in-situ hybridization (FISH) analysis. FISH is a popular molecular cytogenetic method. The output of a single FISH analysis is a set of several tens or hundreds microscopic images. The goal of an automated evaluation is to replace the subjective evaluation of images by the laboratory technician to achieve higher uniformity of results. Following explanation of the principle of the method and the typical contents of images, the processing flow of image segmentation is outlined and the results are presented on several example images. cav_un_auth*0275272 5th International Conference, ICHIT 2011 Daejeon 22.09.2011-24.09.2011 KR 2012 IN http://hdl.handle.net/11104/0200859 2011 PDF cav_un_epca*0365673 Convergence and Hybrid Information Technology 978-3-642-24081-2 622 633 Berlin Heidelberg Springer-Verlag 2011 Lecture Notes in Computer Science