ICT-Net: An Integrated Convolution and Transformer-Based Network for Complex Liver and Liver Tumor Region Segmentation

Background: Automatic segmentation of liver regions as well as liver lesions such as hepatocellular carcinoma (HCC) from computed tomography (CT) images is critical for accurate diagnosis and therapy planning. With the advent of deep learning techniques such as transformers, computer-aided diagnosti...

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Detalhes bibliográficos

Principais autores:	Chukwuemeka Clinton Atabansi, Hui Li, Sheng Wang, Jing Nie, Haijun Liu, Bo Xu, Xichuan Zhou, Dewei Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Translational Engineering in Health and Medicine
Assuntos:	Vision transformer liver segmentation hepatocellular carcinoma segmentation liver cancer diagnosis CT images
Acesso em linha:	https://ieeexplore.ieee.org/document/11072178/
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