Accurate segmentation of liver tumor from multi-modality non-contrast images using a dual-stream multi-level fusion framework
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Published:2024-09
Issue:
Volume:116
Page:102414
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ISSN:0895-6111
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Container-title:Computerized Medical Imaging and Graphics
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language:en
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Short-container-title:Computerized Medical Imaging and Graphics
Author:
Xu Chenchu, Wu XueORCID, Wang Boyan, Chen Jie, Gao Zhifan, Liu Xiujian, Zhang Heye
Reference39 articles.
1. Liver tumor segmentation in CT scans using modified SegNet;Almotairi;Sensors,2020 2. Rethinking atrous convolution for semantic image segmentation;Chen,2017 3. Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H., 2018. Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision. ECCV, pp. 801–818. 4. Fu, J., Liu, J., Tian, H., Li, Y., Bao, Y., Fang, Z., Lu, H., 2019. Dual attention network for scene segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3146–3154. 5. Res2net: A new multi-scale backbone architecture;Gao;IEEE Trans. Pattern Anal. Mach. Intell.,2019
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