A Medical Image Fusion Method Based on SIFT and Deep Convolutional Neural Network in the SIST Domain

The traditional medical image fusion methods, such as the famous multi-scale decomposition-based methods, usually suffer from the bad sparse representations of the salient features and the low ability of the fusion rules to transfer the captured feature information. In order to deal with this proble...

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Detalles Bibliográficos
Autores principales: Wang, Lei, Chang, Chunhong, Liu, Zhouqi, Huang, Jin, Liu, Cong, Liu, Chunxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081630/
https://www.ncbi.nlm.nih.gov/pubmed/33968357
http://dx.doi.org/10.1155/2021/9958017

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8081630/
https://www.ncbi.nlm.nih.gov/pubmed/33968357
http://dx.doi.org/10.1155/2021/9958017

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