@inproceedings{6a6fc33c7cd84c93b5a2d84682022481,
title = "CC-DenseUNet: Densely Connected U-Net with Criss-Cross Attention for Liver and Tumor Segmentation in CT Volumes",
abstract = "The automatic segmentation of liver and tumor is important for hepatic tumor surgery. In this paper, we propose a novel densely connected U-Net (CC-DenseUNet), which integrates criss-cross attention (CCA) module, to segment the liver and tumor in computed tomography (CT) volumes. The dense interconnections in CC-DenseUNet ensure the maximum information flow between encoder layers when extracting intraslice features of liver and tumors. Moreover, the CCA module is used in CC-DenseUNet to efficiently capture only the necessary and meaningful non-local contextual information of CT images containing liver or tumors. We evaluated the proposed CCDenseUNet on the Liver Tumor Segmentation Challenge and 3DIRCADb datasets. Experimental results show that our method outperformed the state-of-the-art methods in liver tumor segmentation and achieved a highly competitive performance in liver segmentation.",
keywords = "CT, Criss-Cross Attention, Dense Interconnections, Liver and Tumor Segmentation, U-Net",
author = "Qiang Li and Hong Song and Weiwei Zhang and Jingfan Fan and Danni Ai and Yucong Lin and Jian Yang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 ; Conference date: 09-12-2021 Through 12-12-2021",
year = "2021",
doi = "10.1109/BIBM52615.2021.9669823",
language = "English",
series = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "966--971",
editor = "Yufei Huang and Lukasz Kurgan and Feng Luo and Hu, {Xiaohua Tony} and Yidong Chen and Edward Dougherty and Andrzej Kloczkowski and Yaohang Li",
booktitle = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",
address = "United States",
}