Hybrid State–Space and Vision Transformer Framework for Fetal Ultrasound Plane Classification in Prenatal Diagnostics

<b>Background and Objective</b>: Accurate classification of standard fetal ultrasound planes is a critical step in prenatal diagnostics, enabling reliable biometric measurements and anomaly detection. Conventional deep learning approaches, particularly convolutional neural networks (CNNs) and transf...

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Autores principales:	Sara Tehsin, Hend Alshaya, Wided Bouchelligua, Inzamam Mashood Nasir
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-11-01
Colección:	Diagnostics
Materias:	fetal ultrasound prenatal diagnostics state–space models vision transformers multi-task learning
Acceso en línea:	https://www.mdpi.com/2075-4418/15/22/2879
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