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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Autors principals:	Sara Tehsin, Hend Alshaya, Wided Bouchelligua, Inzamam Mashood Nasir
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-11-01
Col·lecció:	Diagnostics
Matèries:	fetal ultrasound prenatal diagnostics state–space models vision transformers multi-task learning
Accés en línia:	https://www.mdpi.com/2075-4418/15/22/2879
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