Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Mengqing Cao"'
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 439-449 (2023)
Abstract Recently, several in‐loop filtering algorithms based on convolutional neural network (CNN) have been proposed to improve the efficiency of HEVC (High Efficiency Video Coding). Conventional CNN‐based filters only apply a single model to t
Externí odkaz:
https://doaj.org/article/59caa065230147cdb4c425fe19d3c3ce
Autor:
Huan Wang, Yuting Shi, Dannv Ma, Mengqing Cao, Yuchao Sun, Xinyuan Jiang, Zhiyong Xu, Yongfang Wang, Ying Yang, Yueli Shi, Kai Wang
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 164, Iss , Pp 114980- (2023)
Currently, there are several treatments approaches available for lung cancer; however, patients who develop drug resistance or have poor survival rates urgently require new therapeutic strategies for lung cancer. In autophagy, damaged proteins or org
Externí odkaz:
https://doaj.org/article/27099faf15e740e0a1651137c0daf377
Autor:
Lingge Yang, Shuli Wei, Jingnan Zhang, Qiongjie Hu, Wansong Hu, Mengqing Cao, Long Zhang, Yongfang Wang, Pingli Wang, Kai Wang
Publikováno v:
Journal of Translational Medicine, Vol 20, Iss 1, Pp 1-21 (2022)
Abstract Background To construct a predictive model of immunotherapy efficacy for patients with lung squamous cell carcinoma (LUSC) based on the degree of tumor-infiltrating immune cells (TIIC) in the tumor microenvironment (TME). Methods The data of
Externí odkaz:
https://doaj.org/article/29311288885c4528b0c5b3f417c477d2
Autor:
Huan Wang, Yuting Shi, Yueli Shi, Mengqing Cao, Long Zhang, Yuan Wu, Yun Xu, Kai Wang, Xianwu Weng
Publikováno v:
International Journal of Clinical Practice, Vol 2023 (2023)
Background. Lung cancer (LC) has the highest mortality rate all over the world. It is necessary to search for novel potential biomarkers that are easily accessible and inexpensive in identifying patients with LC at early stage. Methods. A total of 19
Externí odkaz:
https://doaj.org/article/e089d8b3c68e47b29cf108880d8f8498
Autor:
Mingshu Xiao, Yueli Shi, Sujing Jiang, Mengqing Cao, Weiyu Chen, Yun Xu, Zhiyong Xu, Kai Wang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Anti-angiogenesis therapy and immunotherapy are the first-line therapeutic strategies for various tumor treatments in the clinic, bringing significant advantages for tumor patients. Recent studies have shown that anti-angiogenic therapy can potentiat
Externí odkaz:
https://doaj.org/article/2424bd365f104633898458f9f599d2f0
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4163 (2023)
Constructing a surface representation from the sparse point cloud of a satellite is an important task for satellite on-orbit services such as satellite docking and maintenance. In related studies on surface reconstruction from point clouds, implicit
Externí odkaz:
https://doaj.org/article/533569b6fe4948d2928dc315606de7ce
Publikováno v:
IEEE Access, Vol 8, Pp 16155-16165 (2020)
Light Detection and Ranging (LiDAR) data are widely used for high-resolution land cover mapping, which can provide very valuable information about the height of the surveyed area for the discrimination of classes. In order to utilize the advantages o
Externí odkaz:
https://doaj.org/article/7bb23950a529478d9d160375e99d4cac
Publikováno v:
IET Image Processing. 17:439-449
Autor:
Huan Wang, Yuting Shi, Yueli Shi, Mengqing Cao, Long Zhang, Yuan Wu, Yun Xu, Kai Wang, Xianwu Weng
Purpose: As the third most common cancer type behind breast cancer and prostate cancer, lung cancer has the highest mortality rate all over the world. Identification of easily accessible and inexpensive potential biomarkers for advanced lung cancer i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8b564d94c7595b046f1a4b5c011ef5e
https://doi.org/10.21203/rs.3.rs-1411350/v1
https://doi.org/10.21203/rs.3.rs-1411350/v1
Publikováno v:
IEEE Access, Vol 8, Pp 16155-16165 (2020)
Light Detection and Ranging (LiDAR) data are widely used for high-resolution land cover mapping, which can provide very valuable information about the height of the surveyed area for the discrimination of classes. In order to utilize the advantages o