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10.1038/srep46769 http://scihub22266oqcxt.onion/10.1038/srep46769 C5402276!5402276 !28436482     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 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\28436482 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Rep 2017 ; 7 (ä): 46769 Nephropedia Template TP {{tp|p=28436482 |t=2017. PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys |pdf=|usr=}}{{28436482 }} gab.com Text PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28436482 #FOAvip PathoSpotter is a computational system designed to assist pathologists in teaching about and researching kidney diseases. PathoSpotter-K is the version that was developed to detect nephrological lesions in digital images of kidneys. Here, we present the results obtained using the first version of PathoSpotter-K, which uses classical image processing and pattern recognition methods to detect proliferative glomerular lesions with an accuracy of 88.3?±?3.6%. Such performance is only achieved by similar systems if they use images of cell in contexts that are much less complex than the glomerular structure. The results indicate that the approach can be applied to the development of systems designed to train pathology students and to assist pathologists in determining large-scale clinicopathological correlations in morphological research. Twit Text FOAVip PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=28436482 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28436482 #FOAvip English Wikipedia <ref>{{Cite pmid|28436482 }}</ref> PathoSpotter-K: A computational tool for the automatic identification of glomerular lesions in histological images of kidneys #MMPMID28436482 Barros GO ; Navarro B ; Duarte A ; Dos-Santos WLC Sci Rep 2017[Apr]; 7 (ä): 46769 PMID28436482 show ga PathoSpotter is a computational system designed to assist pathologists in teaching about and researching kidney diseases. PathoSpotter-K is the version that was developed to detect nephrological lesions in digital images of kidneys. Here, we present the results obtained using the first version of PathoSpotter-K, which uses classical image processing and pattern recognition methods to detect proliferative glomerular lesions with an accuracy of 88.3?±?3.6%. Such performance is only achieved by similar systems if they use images of cell in contexts that are much less complex than the glomerular structure. The results indicate that the approach can be applied to the development of systems designed to train pathology students and to assist pathologists in determining large-scale clinicopathological correlations in morphological research. |Automation, Laboratory/*methods [MESH] |Histocytochemistry/*methods [MESH] |Humans [MESH] |Image Processing, Computer-Assisted/*methods [MESH] |Kidney Diseases/*diagnosis/*pathology [MESH] |Kidney Glomerulus/*pathology [MESH]PathoSpotter-K: A computational tool for the automatic identification (epmc).pdf DeepDyve Pubget Overpricing