Zobrazeno 1 - 10
of 1 278
pro vyhledávání: '"Jie Zhi"'
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:
Ying Li, Chansoon An
Publikováno v:
The Journal of Chinese Prose. 11:168-188
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::111f72bc449d84caaf54b327e93b2741
https://doi.org/10.22419/tjcpcom.11.11
https://doi.org/10.22419/tjcpcom.11.11
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
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/655e0e5163fd46d99f235db101c29529
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
Autor:
Qin, Sai-Nan, Jie, Zhi-Qiang, Chen, Li-Yang, Zheng, Jia-Xing, Xie, Yu, Feng, Lei, Chen, Zhi-Min, Salminen, Kalle, Sun, Jian-Jun
Publikováno v:
In Sensors and Actuators: B. Chemical 15 July 2024 411