窦维蓓

个人信息Personal Information

教授

教师英文名称:DOU Weibei

教师拼音名称:douweibei

办公地点:清华大学罗姆楼4-102

联系方式:Email: douwb@tsinghua.edu.cn; Tel: 010-62781703

学位:博士学位

毕业院校:电子科技大学学士、法国雷恩大学硕士、法国卡昂大学博士

学术论文

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[23] Wang, J., Li, W., Ciais, P., Ballantyne, A., Goll, D., Huang, X., Zhao, Z. and Zhu, L.(2021). Changes in biomass turnover times in tropical forests and their environmental drivers from 2001 to 2012. Earth's Future, 9(1).

点击次数:

DOI码:10.1109/ICCSN.2016.7586598

发表刊物:International Conference on Communication Software and Networks

关键字:functional MRI automatic segmentation glioma MRS DWI

摘要:The brain tumor segmentation method of MRI images is of key importance for clinical analysis of glioma. The majority of existing methods are focused on structural MRI such as T1-weighted and T2-weighted. Additionally, functional MRI including Magnetic Resonance Spectroscopy (MRS), Diffusion Weighted Imaging (DWI), and Blood-Oxygen-Level Dependent (BOLD) can also contribute to increasing the validity and accuracy of the results. This paper proposes a framework of automatic brain tumor segmentation method based on information fusion of structural and functional signals. The method consists of four steps: intensity mapping for feature, region growing for tumor, region growing for edema and necrosis detection. The performance evaluation has been done by using some clinical MRI data with glioma. Comparing the segmentation results with the manual segmentation as "ground truth", it has achieved average Dice score 83.7% in the tumor, and 88.5% in the whole lesion area, which indicated the validity and robustness of the proposed method.

合写作者:Weibei Dou, Mingyu Zhang,Mingyu Zhang, Xiaojie Zhang, Yuan Li,Yuan Li, Hongyan Chen, Shaowu Li, Min Lu, Jianping Dai, Jean-Marc Constans

第一作者:Xiaojie Zhang,Weibei Dou,Yang Chen

论文类型:会议论文

通讯作者:Weibei Dou,Weibei Dou

是否译文:

发表时间:2016-06-04

上一条:[22] Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K. and Zhang, Q. (2021). Separating emission and meteorological contributions to long-term PM 2.5 trends over eastern China during 2000–2018. Atmospheric Chemistry and Physics, 21(12), pp.9475-9496.

下一条:[24] Lin, Y., Huang, X., Liang, Y., Qin, Y., Xu, S., Huang, W., Xu, F., Liu, L., Wang, Y., Peng, Y., Wang, L., Xue, W., Fu, H., Zhang, G., Wang, B., Li, R., Zhang, C., Lu, H., Yang, K., Luo, Y., Bai, Y., Song, Z., Wang, M., Zhao, W., Zhang, F., Xu, J., Zhao, X., Lu, C., Chen, Y., Luo, Y., Hu, Y., Tang, Q., Chen, D., Yang, G. and Gong, P.(2020). Community Integrated Earth System Model (CIESM): Description and Evaluation. Journal of Advances in Modeling Earth Systems, 12(8), p.e2019MS002036.