Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jinyuan Ho"'
Autor:
Qingtang Lin, Teer Ba, Jinyuan Ho, Dandan Chen, Ye Cheng, Leiming Wang, Geng Xu, Lixin Xu, Yiqiang Zhou, Yukui Wei, Jianqiang Li, Feng Ling
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Glioblastoma is the most common primary brain malignancy with limited treatment options. EphA2 is a tumor-associated-antigen overexpressed in glioblastoma. Pre-clinical studies have demonstrated the promise of EphA2-redirected CAR T-cells against gli
Externí odkaz:
https://doaj.org/article/aeff9c3877fc419fb85c72d02b729e59
Autor:
Dandan Chen, Geng Xu, Yiqiang Zhou, Lixin Xu, Leiming Wang, Qingtang Lin, Jinyuan Ho, Yukui Wei, Ye Cheng, Teer Ba, Jianqiang Li, Feng Ling
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
Frontiers in Oncology
Frontiers in Oncology
Glioblastoma is the most common primary brain malignancy with limited treatment options. EphA2 is a tumor-associated-antigen overexpressed in glioblastoma. Pre-clinical studies have demonstrated the promise of EphA2-redirected CAR T-cells against gli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dd6c9e21b917138dd664c7e11b03e2c
https://www.frontiersin.org/articles/10.3389/fonc.2021.694941/full
https://www.frontiersin.org/articles/10.3389/fonc.2021.694941/full
Publikováno v:
Photonic Sensors, Vol 10, Iss 1, Pp 45-56 (2019)
Abstract Automatic detection of a designated building area (DBA) is a research hotspot in the field of target detection using remote sensing images. Target detection is urgently needed for tasks such as illegal building monitoring, dynamic land use m
Externí odkaz:
https://doaj.org/article/d5bc49de011d4d9ea4c5f2334eeca38f
Publikováno v:
The Journal of Engineering (2019)
Automatic detection of specific artificial region is one of the research hotspots in remote sensing image. In this study, a hierarchical detection method of specific artificial region using local structure constraint in remote sensing images is propo
Externí odkaz:
https://doaj.org/article/c3e3a58de26642c3a9e74bb98a6e12a5
Publikováno v:
Sensors, Vol 19, Iss 10, p 2271 (2019)
Ship detection plays a significant role in military and civil fields. Although some state-of-the-art detection methods, based on convolutional neural networks (CNN) have certain advantages, they still cannot solve the challenge well, including the la
Externí odkaz:
https://doaj.org/article/78cdaac0767d477f84e35e8bd323d82c