SACU-Net: Shape-Aware U-Net for Biomedical Image Segmentation With Attention Mechanism and Context Extraction

With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, nuclei, and COVID-19 lesion segmentation. However, the accuracy and interpretability of these methods still ne...

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Detalhes bibliográficos

Principais autores:	Yinuo Cao, Yong Cheng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Access
Assuntos:	Medical image segmentation U-Net CNN deep learning attention mechanism
Acesso em linha:	https://ieeexplore.ieee.org/document/10829919/
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