Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Zhengguang Zhou"'
Autor:
Jing Liu, Qianyu Du, Yu Shao, Han Xu, Xiuli Liu, Wenting Zhang, Mingxi Wang, Zhengguang Zhou, Qingsheng Kan, Yan Yang
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Objective To present the real-world status and explore the predictors of the efficacy and prognosis of first-line treatment for unresectable hepatocellular carcinoma (uHCC).Methods Real-world data of uHCC patients who underwent first-line treatment a
Externí odkaz:
https://doaj.org/article/53d727091ba34ddabc4277bf27b5fe2f
Autor:
Yan Yang, Yu Shao, Junjun Wang, Qianqian Cheng, Hanqi Yang, Yulong Li, Jing Liu, Yangyang Zhou, Zhengguang Zhou, Mingxi Wang, Baoan Ji, Jinghao Yao
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeTo explore the predictive value of multiple immune-inflammatory biomarkers including serum VEGFA and systemic immune-inflammation index (SII) in HER2-negative advanced gastric cancer (AGC) and establish nomograms for predicting the first-line
Externí odkaz:
https://doaj.org/article/ae5ad60f1210420795393ddcbdf06707
Publikováno v:
Journal of Pain Research
Yan Yang,1,2 Jing-hao Yao,1,2 Ling-jie Xu,1,3 Zheng-guang Zhou,1,2 Ming-xi Wang,1,2 Zi-shu Wang,1,2 Fu-you Zhao1,2 1Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, Peopleâs Republic of Chin
Publikováno v:
IEEE Transactions on Multimedia. 23:871-882
Recent years have witnessed a great advance of deep learning in a variety of vision tasks. Many state-of-the-art deep neural networks suffer from large size and high complexity, which makes them difficult to deploy in resource-limited platforms such
Autor:
Rui Wang, Fang Su, Fangquan Zhu, Zhengguang Zhou, Yawei Li, Fuyou Zhao, Qiong Wu, Hao Jin, Yurong Ou, Zhongwen Li, Jun Zhao, Wen Su, Yan Yang, Qiang Wang, Ze-nong Cheng, Jiyue Zheng, Yi Tan, Yumei Li, Shukui Qin
Publikováno v:
Oncotarget
// Fang Su 1, * , Jun Zhao 2, * , Shukui Qin 3 , Rui Wang 1 , Yumei Li 1 , Qiang Wang 4 , Yi Tan 5 , Hao Jin 5 , Fangquan Zhu 5 , Yurong Ou 6 , Zenong Cheng 6 , Wen Su 1 , Fuyou Zhao 1 , Yan Yang 1 , Zhengguang Zhou 1 , Jiyue Zheng 1 , Yawei Li 1 , Z
Publikováno v:
ICIP
Pruning filters is an effective method for accelerating deep neural networks (DNNs), but most existing approaches prune filters on a pre-trained network directly which limits in acceleration. Although each filter has its own effect in DNNs, but if tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66eaa654a050be0993a1578f7e3a4f68
http://arxiv.org/abs/1905.11787
http://arxiv.org/abs/1905.11787
Autor:
Qiong Wu, Zhengguang Zhou, Shukui Qin, Tiantian Zhang, Yufo Chen, Yawei Li, Rui Wang, Fang Su, Yumei Li
Publikováno v:
Molecular Medicine Reports.
Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. It has been reported that HCC has a poor prognosis. In the majority of cases, once metastatic, HCC is incurable. To identify an effective treatment for HCC, it is import
Publikováno v:
Oncology Letters. Aug2016, Vol. 12 Issue 2, p977-982. 6p.
Publikováno v:
Oncology Letters. 12:977-982
Vestibular schwannoma (VS) is a benign, slow-growing cranial tumor that originates from the hypertrophy of Schwann cells. The majority of sporadic VS are unilateral, and the mechanisms underlying VS tumorigenesis are not fully understood. The human n
Publikováno v:
ICME
Pruning is an effective method to address the limitation of deploying deep neural networks (DNNs) on embedded systems. Most existing methods prune weights on a given pre-trained DNN followed by a costly fine-tuning process. In this paper, we propose