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10.1186/s12859-017-1591-2 http://scihub22266oqcxt.onion/10.1186/s12859-017-1591-2 C5357336!5357336 !28315633     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28315633 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Bioinformatics 2017 ; 18 (1 ): 176 Nephropedia Template TP {{tp|p=28315633 |t=2017. Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms |pdf=|usr=}}{{28315633 }} gab.com Text Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28315633 #FOAvip BACKGROUND: Manual assessment and evaluation of fluorescent micrograph cell experiments is time-consuming and tedious. Automated segmentation pipelines can ensure efficient and reproducible evaluation and analysis with constant high quality for all images of an experiment. Such cell segmentation approaches are usually validated and rated in comparison to manually annotated micrographs. Nevertheless, manual annotations are prone to errors and display inter- and intra-observer variability which influence the validation results of automated cell segmentation pipelines. RESULTS: We present a new approach to simulate fluorescent cell micrographs that provides an objective ground truth for the validation of cell segmentation methods. The cell simulation was evaluated twofold: (1) An expert observer study shows that the proposed approach generates realistic fluorescent cell micrograph simulations. (2) An automated segmentation pipeline on the simulated fluorescent cell micrographs reproduces segmentation performances of that pipeline on real fluorescent cell micrographs. CONCLUSION: The proposed simulation approach produces realistic fluorescent cell micrographs with corresponding ground truth. The simulated data is suited to evaluate image segmentation pipelines more efficiently and reproducibly than it is possible on manually annotated real micrographs. Twit Text FOAVip Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=28315633 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28315633 #FOAvip English Wikipedia <ref>{{Cite pmid|28315633 }}</ref> Using simulated fluorescence cell micrographs for the evaluation of cell image segmentation algorithms #MMPMID28315633 Wiesmann V ; Bergler M ; Palmisano R ; Prinzen M ; Franz D ; Wittenberg T BMC Bioinformatics 2017[Mar]; 18 (1 ): 176 PMID28315633 show ga BACKGROUND: Manual assessment and evaluation of fluorescent micrograph cell experiments is time-consuming and tedious. Automated segmentation pipelines can ensure efficient and reproducible evaluation and analysis with constant high quality for all images of an experiment. Such cell segmentation approaches are usually validated and rated in comparison to manually annotated micrographs. Nevertheless, manual annotations are prone to errors and display inter- and intra-observer variability which influence the validation results of automated cell segmentation pipelines. RESULTS: We present a new approach to simulate fluorescent cell micrographs that provides an objective ground truth for the validation of cell segmentation methods. The cell simulation was evaluated twofold: (1) An expert observer study shows that the proposed approach generates realistic fluorescent cell micrograph simulations. (2) An automated segmentation pipeline on the simulated fluorescent cell micrographs reproduces segmentation performances of that pipeline on real fluorescent cell micrographs. CONCLUSION: The proposed simulation approach produces realistic fluorescent cell micrographs with corresponding ground truth. The simulated data is suited to evaluate image segmentation pipelines more efficiently and reproducibly than it is possible on manually annotated real micrographs. |*Algorithms [MESH] |*Microscopy, Fluorescence [MESH] |Animals [MESH] |B-Lymphocytes/cytology/metabolism [MESH] |Cell Shape [MESH] |Image Processing, Computer-Assisted [MESH] |Macrophages/cytology/metabolism [MESH] |Mice [MESH] |Mice, Inbred C57BL [MESH]Using simulated fluorescence cell micrographs for the evaluation of ce(epmc).pdf DeepDyve Pubget Overpricing