Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Deliang Gong"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Osteosarcoma (OS) is a heterogeneous malignant spindle cell tumor that is aggressive and has a poor prognosis. Although combining surgery and chemotherapy has significantly improved patient outcomes, the prognosis for OS patients with metast
Externí odkaz:
https://doaj.org/article/419e618dc8454f3eb606f5b9fdc565a4
Autor:
Jun Liu, Chengfeng Yi, Deliang Gong, Qingzhong Zhao, Han Xie, Shibing Zhao, Hang Yu, Jianwei Lv, Erbao Bian, Dasheng Tian
Publikováno v:
Translational Oncology, Vol 47, Iss , Pp 102047- (2024)
Osteosarcoma, one of the most common primary malignancies in children and adolescents, has the primary characteristics of a poor prognosis and high rate of metastasis. This study used super-enhancer-related genes derived from two different cell lines
Externí odkaz:
https://doaj.org/article/474b61ae81d34786b3b0651a38cb967e
Autor:
Deliang Gong, Qingzhong Zhao, Jun Liu, Shibing Zhao, Chengfeng Yi, Jianwei Lv, Hang Yu, Erbao Bian, Dasheng Tian
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Osteosarcoma is a primary malignant tumor found mainly in teenagers and young adults. Patients have very little long-term survival. MYC controls tumor initiation and progression by regulating the expression of its target genes; thus, constructing a r
Externí odkaz:
https://doaj.org/article/ea61a7ec52d9431a84e0e1682f000fa6
Publikováno v:
Complexity, Vol 2022 (2022)
With the rapid development of unmanned aerial vehicles (UAVs) technology and the advent of the 5G era, the role of UAV-enabled mobile edge computing (MEC) system has attracted much attention, especially in the event of some emergencies. However, cons
Externí odkaz:
https://doaj.org/article/b6876a28d3a74f9d827886609648e893
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319690957
In this paper we study face recognition using convolutional neural network. First, we introduced the basic CNN neural network architecture. Second, we modify the traditional neural network and adapt it to another database by fine tuning its parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a5b2f97dc05407d2d53679d47956074
https://doi.org/10.1007/978-3-319-69096-4_54
https://doi.org/10.1007/978-3-319-69096-4_54