Zobrazeno 1 - 10
of 699
pro vyhledávání: '"Jie Zhi"'
Autor:
Na Yuan, Xiaoyan Li, Meng Wang, Zhilin Zhang, Lu Qiao, Yamei Gao, Xinjian Xu, Jie Zhi, Yang Li, Zhongxin Li, Yitao Jia
Publikováno v:
Gut and Liver, Vol 16, Iss 4, Pp 575-588 (2022)
Background/Aims:This study aimed to explore the effect of gut microbiota-regulated Kupffer cells (KCs) on colorectal cancer (CRC) liver metastasis. Methods: A series of in vivo and in vitro researches were showed to demonstrate the gut microbiota and
Externí odkaz:
https://doaj.org/article/396f26d531d5458dbb7f8ade581b5f4f
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7164 (2023)
Ground-Based Synthetic Aperture Radar (GBSAR) has non-contact, all-weather, high resolution imaging and microdeformation sensing capabilities, which offers advantages in applications such as building structure monitoring and mine slope deformation re
Externí odkaz:
https://doaj.org/article/2062a79b12844009930d98bc3c8a551a
The present work elucidates the boundary behaviors of the velocity gradient tensor ($\bm{A}\equiv\bm{\nabla}\bm{u}$) and its principal invariants ($P,Q,R$) for compressible flow interacting with a stationary rigid wall. Firstly, it is found that the
Externí odkaz:
http://arxiv.org/abs/2406.08760
Autor:
Jia Long Liu, Lorenzo Mencattelli, Jie Zhi, Ping Yee Chua, Tong-Earn Tay, Vincent Beng Chye Tan
Publikováno v:
Polymers, Vol 14, Iss 3, p 475 (2022)
Glass-Fiber-Reinforced Polymer (GFRP) laminates are widely used in the automotive and marine industries such as auto bodies and boat hulls. Decreasing the weight and improving the reparability of GFRP parts will cut down material usage, fuel consumpt
Externí odkaz:
https://doaj.org/article/09e25e2fc37947a08cb9486b68f7a2c5
Autor:
Li, Zheren, Cui, Zhiming, Zhang, Lichi, Wang, Sheng, Lei, Chenjin, Ouyang, Xi, Chen, Dongdong, Zhao, Xiangyu, Gu, Yajia, Liu, Zaiyi, Liu, Chunling, Shen, Dinggang, Cheng, Jie-Zhi
The deep learning technique has been shown to be effectively addressed several image analysis tasks in the computer-aided diagnosis scheme for mammography. The training of an efficacious deep learning model requires large data with diverse styles and
Externí odkaz:
http://arxiv.org/abs/2304.10226
Lung nodule detection in chest X-ray (CXR) images is common to early screening of lung cancers. Deep-learning-based Computer-Assisted Diagnosis (CAD) systems can support radiologists for nodule screening in CXR. However, it requires large-scale and d
Externí odkaz:
http://arxiv.org/abs/2207.09389
Autor:
Ouyang, Xi, Karanam, Srikrishna, Wu, Ziyan, Chen, Terrence, Huo, Jiayu, Zhou, Xiang Sean, Wang, Qian, Cheng, Jie-Zhi
Publikováno v:
IEEE Transactions on Medical Imaging 2021
We consider the problem of abnormality localization for clinical applications. While deep learning has driven much recent progress in medical imaging, many clinical challenges are not fully addressed, limiting its broader usage. While recent methods
Externí odkaz:
http://arxiv.org/abs/2112.12349
Autor:
Li, Zheren, Cui, Zhiming, Wang, Sheng, Qi, Yuji, Ouyang, Xi, Chen, Qitian, Yang, Yuezhi, Xue, Zhong, Shen, Dinggang, Cheng, Jie-Zhi
Publikováno v:
International Conference on Medical Image Computing and Computer-Assisted Intervention 2021
Lesion detection is a fundamental problem in the computer-aided diagnosis scheme for mammography. The advance of deep learning techniques have made a remarkable progress for this task, provided that the training data are large and sufficiently divers
Externí odkaz:
http://arxiv.org/abs/2111.10827