Zobrazeno 1 - 10
of 850
pro vyhledávání: '"Guo, Lihua"'
Semantic pattern of an object point cloud is determined by its topological configuration of local geometries. Learning discriminative representations can be challenging due to large shape variations of point sets in local regions and incomplete surfa
Externí odkaz:
http://arxiv.org/abs/2407.18534
Autor:
Ye, Qi, Guo, Lihua
In recent years, "U-shaped" neural networks featuring encoder and decoder structures have gained popularity in the field of medical image segmentation. Various variants of this model have been developed. Nevertheless, the evaluation of these models h
Externí odkaz:
http://arxiv.org/abs/2306.00446
Mixup style data augmentation algorithms have been widely adopted in various tasks as implicit network regularization on representation learning to improve model generalization, which can be achieved by a linear interpolation of labeled samples in in
Externí odkaz:
http://arxiv.org/abs/2305.18684
Medical image segmentation is particularly critical as a prerequisite for relevant quantitative analysis in the treatment of clinical diseases. For example, in clinical cervical cancer radiotherapy, after acquiring subabdominal MRI images, a fast and
Externí odkaz:
http://arxiv.org/abs/2305.10631
Coverage guided fuzzing (CGF) is an effective testing technique which has detected hundreds of thousands of bugs from various software applications. It focuses on maximizing code coverage to reveal more bugs during fuzzing. However, a higher coverage
Externí odkaz:
http://arxiv.org/abs/2203.06910
Publikováno v:
In International Journal of Refractory Metals and Hard Materials September 2024 123
Autor:
Guo, Lihua, Li, Pengwei, Jing, Zhihong, Gong, Yuwen, Lai, Kangning, Fu, Hanxiu, Dong, Heqian, Yang, Zhihao, Liu, Zhe
Publikováno v:
In Journal of Inorganic Biochemistry September 2024 258
Autor:
Guo, Lihua, Lu, Linyuan, Wang, Guoqiang, Zhang, Feng, Luo, Bin, Huang, Hongtao, Lin, Jun, Yang, Junxiang
Publikováno v:
In International Journal of Refractory Metals and Hard Materials August 2024 122
Nasopharyngeal carcinoma (NPC) is a kind of malignant tumor. Accurate and automatic segmentation of organs at risk (OAR) of computed tomography (CT) images is clinically significant. In recent years, deep learning models represented by U-Net have bee
Externí odkaz:
http://arxiv.org/abs/2112.14026
Autor:
Yang, Dongxia1 (AUTHOR) ydx1976@hrbu.edu.cn, Guo, Lihua1 (AUTHOR) guolihua@hrbu.edu.cn, Fan, Changsheng2 (AUTHOR) changshengfan@nefu.edu.cn
Publikováno v:
Materials (1996-1944). Jun2024, Vol. 17 Issue 12, p2928. 22p.