3D medical image segmentation via sequential 2D slice processing

Three-dimensional (3D) medical image segmentation is vital in clinical applications, but faces challenges like computational complexity and spatial context loss in 2D processing. To address these issues, we propose 3DAS2D, which processes 3D images as 2D slices while retaining volumetric data for be...

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Detalles Bibliográficos

Principais autores:	Yee Zhing Liew, Andrew Huey Ping Tan, Anwar P.P. Abdul Majeed, Anh Nguyen, Paolo Paoletti, Wei Chen
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2026-04-01
Series:	ICT Express
Assuntos:	3D medical image Segmentation Sequential 2D
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2405959525001080
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