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Domain-Adaptive MRI Learning Model for Precision Diagnosis of CNS Tumors

<b>Background:</b> Diagnosing CNS tumors through MRI is limited by significant variability in scanner hardware, acquisition protocols, and intensity characteristics at clinical centers, resulting in substantial domain shifts that lead to diminished reliability for automated models. <b>Methods:</b> W...

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Principais autores: Wiem Abdelbaki, Hend Alshaya, Inzamam Mashood Nasir, Sara Tehsin, Salwa Said, Wided Bouchelligua
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2026-01-01
Series:Biomedicines
Assuntos:
CNS tumors
MRI
domain adaptation
brain tumor segmentation
transformer models
multicenter variability
Acceso en liña:https://www.mdpi.com/2227-9059/14/1/235
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