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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Autors principals:	Wiem Abdelbaki, Hend Alshaya, Inzamam Mashood Nasir, Sara Tehsin, Salwa Said, Wided Bouchelligua
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-01-01
Col·lecció:	Biomedicines
Matèries:	CNS tumors MRI domain adaptation brain tumor segmentation transformer models multicenter variability
Accés en línia:	https://www.mdpi.com/2227-9059/14/1/235
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