Mamba-optimized transformer framework with dynamic deformation fields for real-time medical image registration

Abstract This paper presents a novel framework for real-time medical image registration that synergistically combines Mamba optimization, dynamic deformation fields, and transformer-based architectures. The proposed framework addresses key challenges in the field by achieving a balance between high...

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Principais autores:	Muhammad Kashif Jabbar, Huang Jianjun, Ayesha Jabbar, Tariq Mahmood, Sijjad Ali
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2025-10-01
Series:	Journal of Big Data
Assuntos:	Dynamic deformation fields Real-Time medical imaging Transformer-based registration Mamba optimization Medical image registration efficiency Multi-scale feature extraction
Acceso en liña:	https://doi.org/10.1186/s40537-025-01258-8
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