ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet

Abstract Background Deep learning has significantly advanced medical image analysis, particularly in semantic segmentation, which is essential for clinical decisions. However, existing 3D segmentation models, like the traditional 3D UNet, face challenges in balancing computational efficiency and acc...

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Detalhes bibliográficos

Principais autores:	Minyoung Park, Seungtaek Oh, Junyoung Park, Taikyeong Jeong, Sungwook Yu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-08-01
coleção:	BMC Medical Imaging
Assuntos:	3D medical image segmentation Tumor segmentation Data augmentation in medical imaging UNet
Acesso em linha:	https://doi.org/10.1186/s12880-025-01857-0
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