Spherical CNN for Medical Imaging Applications: Importance of Equivariance in image reconstruction and denoising

This work highlights the significance of equivariant networks as efficient and high-performance approaches for tomography applications. Our study builds upon the limitations of conventional Convolutional Neural Networks (CNNs), which have shown promise in post-processing various medical imaging syst...

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Detalles Bibliográficos
Autores principales: Hashemi, Amirreza, Feng, Yuemeng, Sabet, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350095/
https://www.ncbi.nlm.nih.gov/pubmed/37461422

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10350095/
https://www.ncbi.nlm.nih.gov/pubmed/37461422

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