Zobrazeno 1 - 10
of 243
pro vyhledávání: '"Jianzhong Cao"'
Autor:
Qing Hou, Yu Liang, Ningning Yao, Jianting Liu, Xin Cao, Shuangping Zhang, Lijuan Wei, Bochen Sun, Peixin Feng, Wenjuan Zhang, Jianzhong Cao
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Though several nomograms have been established to predict the survival probability of patients with small-cell lung cancer (SCLC), none involved enough variables. This study aimed to construct a novel prognostic nomogram and compa
Externí odkaz:
https://doaj.org/article/d4003495c57a4268b257e8bc2792c38c
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8633 (2024)
Remote-sensing image dehazing (RSID) is crucial for applications such as military surveillance and disaster assessment. However, current methods often rely on complex network architectures, compromising computational efficiency and scalability. Furth
Externí odkaz:
https://doaj.org/article/81f904879f434568b96055481e3c14cf
Publikováno v:
Photonics, Vol 11, Iss 8, p 717 (2024)
Infrared image enhancement technology plays a crucial role in improving image quality, addressing issues like low contrast, lack of sharpness, and poor visual effects within the original images. However, existing decomposition-based algorithms strugg
Externí odkaz:
https://doaj.org/article/d908248395fa42778802540c22c27ca5
Publikováno v:
Photonics, Vol 11, Iss 7, p 610 (2024)
Leveraging space-based optical platforms for space debris and defunct spacecraft detection presents several advantages, including a wide detection range, immunity to cloud cover, and the ability to maintain continuous surveillance on space targets. A
Externí odkaz:
https://doaj.org/article/5310c252425840fb8d3a94afe9d10248
Autor:
Xin Wang, Fei Liang, Xiaomin Wang, Ye Wu, Dejun Wang, Yunjie Cheng, Jiao Li, Yougai Zhang, Bochen Sun, Yu Lin, Dandan Yu, Xiaolin Ge, Jingyi Shen, Guangyue Yao, Lei Wu, Jihong Zhang, Wei Jiang, Nan Bi, Zhilong Yu, Qifeng Wang, Zhe Yang, Xinchen Sun, Junqiang Chen, Jianzhong Cao, Hong Ge, Jun Wang, Xiangzhi Zhu, Hao Jiang, Yidian Zhao, Kuaile Zhao, Luhua Wang
Publikováno v:
Journal of the National Cancer Center, Vol 3, Iss 2, Pp 150-158 (2023)
Objectives: To investigate the health-related quality of life (HRQL) of long-term survivors of inoperable esophageal squamous cell carcinoma (ESCC) treated with definitive radiation therapy, the real-world trends in the use of advanced radiation tech
Externí odkaz:
https://doaj.org/article/b83bb65450414652abec90d2b9951079
Autor:
Nan Bi, Kunpeng Xu, Hong Ge, Ming Chen, Mingyan E, Li Zhang, Jianzhong Cao, Xu Zhang, Xiao Ding, Bing Xia, Lujun Zhao, Lijie Han, Jiancheng Li, Chen Hu, Luhua Wang
Publikováno v:
Journal of the National Cancer Center, Vol 3, Iss 1, Pp 65-71 (2023)
Objective: To investigate the optimal management of patients with epidermal growth factor receptor gene (EGFR) mutant locally advanced non-small cell lung cancer (LA-NSCLC). Methods: Patients with unresectable stage III lung adenocarcinoma (LAC) harb
Externí odkaz:
https://doaj.org/article/47737508e36640cf83c7594c1ba22ddf
Publikováno v:
Computers, Vol 13, Iss 6, p 134 (2024)
The enhancement of images captured under low-light conditions plays a vitally important role in the area of image processing and can significantly affect the performance of following operations. In recent years, deep learning techniques have been lev
Externí odkaz:
https://doaj.org/article/f3caf34894e148c298ffc65d95eb225f
Publikováno v:
Symmetry, Vol 16, Iss 6, p 646 (2024)
Capturing images under extremely low-light conditions usually suffers from various types of noise due to the limited photon and low signal-to-noise ratio (SNR), which makes low-light denoising a challenging task in the field of imaging technology. Ne
Externí odkaz:
https://doaj.org/article/14bba0207f044ad99e988248099e8303
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4757 (2024)
The successful detection of key components within satellites is a crucial prerequisite for executing on-orbit capture missions. Due to the inherent data-driven functionality, deep learning-based component detection algorithms rely heavily on the scal
Externí odkaz:
https://doaj.org/article/385c9451ca3f401995de4111e6dfc3e1
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1525 (2024)
Haze or cloud always shrouds satellite images, obscuring valuable geographic information for military surveillance, natural calamity surveillance and mineral resource exploration. Satellite image dehazing (SID) provides the possibility for better app
Externí odkaz:
https://doaj.org/article/c6239e8cb2c6406b9ea730f8d30a19e7