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10.1364/BOE.6.004661 http://scihub22266oqcxt.onion/10.1364/BOE.6.004661 C4679245!4679245!26713185     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Opt+Express 2015 ; 6 (12): 4661-75 Nephropedia Template TP {{tp|p=26713185|t=2015. Advanced image processing for optical coherence tomographic angiography of macular diseases |pdf=|usr=}}{{26713185}} gab.com Text Advanced image processing for optical coherence tomographic angiography of macular diseases JO: Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=26713185 #FOAvip This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography. Twit Text FOAVip Advanced image processing for optical coherence tomographic angiography of macular diseases ????Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=26713185 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26713185 #FOAvip English Wikipedia <ref>{{Cite pmid|26713185}}</ref> Advanced image processing for optical coherence tomographic angiography of macular diseases #MMPMID26713185 Zhang M; Wang J; Pechauer AD; Hwang TS; Gao SS; Liu L; Liu L; Bailey ST; Wilson DJ; Huang D; Jia Y Biomed Opt Express 2015[Dec]; 6 (12): 4661-75 PMID26713185show ga This article provides an overview of advanced image processing for three dimensional (3D) optical coherence tomographic (OCT) angiography of macular diseases, including age-related macular degeneration (AMD) and diabetic retinopathy (DR). A fast automated retinal layers segmentation algorithm using directional graph search was introduced to separates 3D flow data into different layers in the presence of pathologies. Intelligent manual correction methods are also systematically addressed which can be done rapidly on a single frame and then automatically propagated to full 3D volume with accuracy better than 1 pixel. Methods to visualize and analyze the abnormalities including retinal and choroidal neovascularization, retinal ischemia, and macular edema were presented to facilitate the clinical use of OCT angiography. äAdvanced image processing for optical coherence tomographic angiograph(epmc).pdf DeepDyve Pubget Overpricing