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10.1364/BOE.6.001135 http://scihub22266oqcxt.onion/10.1364/BOE.6.001135 C4399655!4399655!25909000     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Opt+Express 2015 ; 6 (4): 1135-45 Nephropedia Template TP {{tp|p=25909000|t=2015. Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images |pdf=|usr=}}{{25909000}} gab.com Text Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images JO: Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=25909000 #FOAvip We construct a microscopic hyperspectral imaging system to distinguish between normal and cancerous gastric cells. We study common transmission-spectra features that only emerge when the samples are dyed with hematoxylin and eosin (H&E) stain. Subsequently, we classify the obtained visible-range transmission spectra of the samples into three zones. Distinct features are observed in the spectral responses between the normal and cancerous cell nuclei in each zone, which depend on the pH level of the cell nucleus. Cancerous gastric cells are precisely identified according to these features. The average cancer-cell identification accuracy obtained with a backpropagation algorithm program trained with these features is 95%. Twit Text FOAVip Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images ????Biomed Opt Express http://www.kidney.de/pget.php?&tw=1&pmid=25909000 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25909000 #FOAvip English Wikipedia <ref>{{Cite pmid|25909000}}</ref> Identification of cancerous gastric cells based on common features extracted from hyperspectral microscopic images #MMPMID25909000 Zhu S; Su K; Liu Y; Yin H; Li Z; Huang F; Chen Z; Chen W; Zhang G; Chen Y Biomed Opt Express 2015[Apr]; 6 (4): 1135-45 PMID25909000show ga We construct a microscopic hyperspectral imaging system to distinguish between normal and cancerous gastric cells. We study common transmission-spectra features that only emerge when the samples are dyed with hematoxylin and eosin (H&E) stain. Subsequently, we classify the obtained visible-range transmission spectra of the samples into three zones. Distinct features are observed in the spectral responses between the normal and cancerous cell nuclei in each zone, which depend on the pH level of the cell nucleus. Cancerous gastric cells are precisely identified according to these features. The average cancer-cell identification accuracy obtained with a backpropagation algorithm program trained with these features is 95%. äIdentification of cancerous gastric cells based on common features ext(epmc).pdf DeepDyve Pubget Overpricing