Title | ||
---|---|---|
Nonsubsampled shearlet based CT and MR medical image fusion using biologically inspired spiking neural network. |
Abstract | ||
---|---|---|
•The paper presents an algorithm for fusing the CT and MR medical images.•The proposed method is based on the activity level measure and the PCNN model for fusing the image coefficients in nonsubsampled shearlet domain.•The proposed method provides better fused images with more detail information compared to others. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1016/j.bspc.2014.11.009 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Computed tomography (CT),Image fusion,Magnetic resonance (MR),Nonsubsampled shearlet transform (NSST),Pulse coupled neural network | Computer vision,Pattern recognition,Image fusion,Image representation,Shearlet transform,Shearlet,Artificial intelligence,Fusion scheme,Artificial neural network,Spiking neural network,Fuse (electrical),Mathematics | Journal |
Volume | ISSN | Citations |
18 | 1746-8094 | 24 |
PageRank | References | Authors |
0.88 | 24 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sneha Singh | 1 | 30 | 2.33 |
Deep Gupta | 2 | 79 | 7.62 |
R. S. Anand | 3 | 240 | 17.73 |
Vinay Kumar | 4 | 69 | 15.95 |