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10.1186/s12938-016-0239-1 http://scihub22266oqcxt.onion/10.1186/s12938-016-0239-1 C5097394!5097394!27814721     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Eng+Online 2016 ; 15 (ä): ä Nephropedia Template TP {{tp|p=27814721|t=2016. Simultaneous encryption and compression of medical images based on optimized tensor compressed sensing with 3D Lorenz |pdf=|usr=}}{{27814721}} gab.com Text Simultaneous encryption and compression of medical images based on optimized tensor compressed sensing with 3D Lorenz JO: Biomed Eng Online http://www.kidney.de/pget.php?&tw=1&pmid=27814721 #FOAvip Background: The existing techniques for simultaneous encryption and compression of images refer lossy compression. Their reconstruction performances did not meet the accuracy of medical images because most of them have not been applicable to three-dimensional (3D) medical image volumes intrinsically represented by tensors. Methods: We propose a tensor-based algorithm using tensor compressive sensing (TCS) to address these issues. Alternating least squares is further used to optimize the TCS with measurement matrices encrypted by discrete 3D Lorenz. Results: The proposed method preserves the intrinsic structure of tensor-based 3D images and achieves a better balance of compression ratio, decryption accuracy, and security. Furthermore, the characteristic of the tensor product can be used as additional keys to make unauthorized decryption harder. Conclusions: Numerical simulation results verify the validity and the reliability of this scheme. Twit Text FOAVip Simultaneous encryption and compression of medical images based on optimized tensor compressed sensing with 3D Lorenz ????Biomed Eng Online http://www.kidney.de/pget.php?&tw=1&pmid=27814721 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27814721 #FOAvip English Wikipedia <ref>{{Cite pmid|27814721}}</ref> Simultaneous encryption and compression of medical images based on optimized tensor compressed sensing with 3D Lorenz #MMPMID27814721 Wang Q; Chen X; Wei M; Miao Z Biomed Eng Online 2016[]; 15 (ä): ä PMID27814721show ga Background: The existing techniques for simultaneous encryption and compression of images refer lossy compression. Their reconstruction performances did not meet the accuracy of medical images because most of them have not been applicable to three-dimensional (3D) medical image volumes intrinsically represented by tensors. Methods: We propose a tensor-based algorithm using tensor compressive sensing (TCS) to address these issues. Alternating least squares is further used to optimize the TCS with measurement matrices encrypted by discrete 3D Lorenz. Results: The proposed method preserves the intrinsic structure of tensor-based 3D images and achieves a better balance of compression ratio, decryption accuracy, and security. Furthermore, the characteristic of the tensor product can be used as additional keys to make unauthorized decryption harder. Conclusions: Numerical simulation results verify the validity and the reliability of this scheme. äSimultaneous encryption and compression of medical images based on opt(epmc).pdf DeepDyve Pubget Overpricing