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10.1155/2015/564748 http://scihub22266oqcxt.onion/10.1155/2015/564748 C4667064!4667064!26664494     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       Comput+Math+Methods+Med 2015 ; 2015 (ä): ä Nephropedia Template TP {{tp|p=26664494|t=2015. Multimodal Medical Image Fusion by Adaptive Manifold Filter |pdf=|usr=}}{{26664494}} gab.com Text Multimodal Medical Image Fusion by Adaptive Manifold Filter JO: Comput Math Methods Med http://www.kidney.de/pget.php?&tw=1&pmid=26664494 #FOAvip Medical image fusion plays an important role in diagnosis and treatment of diseases such as image-guided radiotherapy and surgery. The modified local contrast information is proposed to fuse multimodal medical images. Firstly, the adaptive manifold filter is introduced into filtering source images as the low-frequency part in the modified local contrast. Secondly, the modified spatial frequency of the source images is adopted as the high-frequency part in the modified local contrast. Finally, the pixel with larger modified local contrast is selected into the fused image. The presented scheme outperforms the guided filter method in spatial domain, the dual-tree complex wavelet transform-based method, nonsubsampled contourlet transform-based method, and four classic fusion methods in terms of visual quality. Furthermore, the mutual information values by the presented method are averagely 55%, 41%, and 62% higher than the three methods and those values of edge based similarity measure by the presented method are averagely 13%, 33%, and 14% higher than the three methods for the six pairs of source images. Twit Text FOAVip Multimodal Medical Image Fusion by Adaptive Manifold Filter ????Comput Math Methods Med http://www.kidney.de/pget.php?&tw=1&pmid=26664494 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26664494 #FOAvip English Wikipedia <ref>{{Cite pmid|26664494}}</ref> Multimodal Medical Image Fusion by Adaptive Manifold Filter #MMPMID26664494 Geng P; Liu S; Zhuang S Comput Math Methods Med 2015[]; 2015 (ä): ä PMID26664494show ga Medical image fusion plays an important role in diagnosis and treatment of diseases such as image-guided radiotherapy and surgery. The modified local contrast information is proposed to fuse multimodal medical images. Firstly, the adaptive manifold filter is introduced into filtering source images as the low-frequency part in the modified local contrast. Secondly, the modified spatial frequency of the source images is adopted as the high-frequency part in the modified local contrast. Finally, the pixel with larger modified local contrast is selected into the fused image. The presented scheme outperforms the guided filter method in spatial domain, the dual-tree complex wavelet transform-based method, nonsubsampled contourlet transform-based method, and four classic fusion methods in terms of visual quality. Furthermore, the mutual information values by the presented method are averagely 55%, 41%, and 62% higher than the three methods and those values of edge based similarity measure by the presented method are averagely 13%, 33%, and 14% higher than the three methods for the six pairs of source images. äMultimodal Medical Image Fusion by Adaptive Manifold Filter (epmc).pdf DeepDyve Pubget Overpricing