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10.1109/JPHOT.2017.2669482 http://scihub22266oqcxt.onion/10.1109/JPHOT.2017.2669482 C5665408!5665408!29104734     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       IEEE+Photonics+J 2017 ; 9 (2): ä Nephropedia Template TP {{tp|p=29104734|t=2017. Monitoring kidney microanatomy changes during ischemia-reperfusion process using texture analysis of OCT images |pdf=|usr=}}{{29104734}} gab.com Text Monitoring kidney microanatomy changes during ischemia-reperfusion process using texture analysis of OCT images JO: IEEE Photonics J http://www.kidney.de/pget.php?&tw=1&pmid=29104734 #FOAvip kidney ischemia-reperfusion (I/R) accounts for the majority of acute kidney injury cases, whose consequences are commonly encountered after kidney transplantation. Optical coherence tomography (OCT) has been applied to image changes in kidney microanatomy and microcirculation. In this paper, we demonstrate a quantitative method for monitoring kidney status during ischemia-reperfusion process using texture properties of OCT images. This approach employs skewness to measure the distribution of en face OCT image intensities at different depths, thus allowing differentiating ischemia-reperfusion status of kidney. The skewness analysis based on quantitative intensity shows promise for monitoring kidney status during ischemia-reperfusion, and the potential for evaluating the viability of transplant kidney. Twit Text FOAVip Monitoring kidney microanatomy changes during ischemia-reperfusion process using texture analysis of OCT images ????IEEE Photonics J http://www.kidney.de/pget.php?&tw=1&pmid=29104734 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29104734 #FOAvip English Wikipedia <ref>{{Cite pmid|29104734}}</ref> Monitoring kidney microanatomy changes during ischemia-reperfusion process using texture analysis of OCT images #MMPMID29104734 Li Z; Tang Q; Jin L; Andrews PM; Chen Y IEEE Photonics J 2017[Apr]; 9 (2): ä PMID29104734show ga kidney ischemia-reperfusion (I/R) accounts for the majority of acute kidney injury cases, whose consequences are commonly encountered after kidney transplantation. Optical coherence tomography (OCT) has been applied to image changes in kidney microanatomy and microcirculation. In this paper, we demonstrate a quantitative method for monitoring kidney status during ischemia-reperfusion process using texture properties of OCT images. This approach employs skewness to measure the distribution of en face OCT image intensities at different depths, thus allowing differentiating ischemia-reperfusion status of kidney. The skewness analysis based on quantitative intensity shows promise for monitoring kidney status during ischemia-reperfusion, and the potential for evaluating the viability of transplant kidney. äMonitoring kidney microanatomy changes during ischemia-reperfusion pro(epmc).pdf DeepDyve Pubget Overpricing