Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chenhua Luo"'
Autor:
Chao Li, Yuteng Pan, Xianghui Yang, Di Jing, Yu Chen, Chenhua Luo, Jianfeng Qiu, Yongmei Hu, Zijian Zhang, Liting Shi, Liangfang Shen, Rongrong Zhou, Shanfu Lu, Xiang Xiao, Tingyin Chen
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundTo predict treatment response and 2 years overall survival (OS) of radio-chemotherapy in patients with esophageal cancer (EC) by radiomics based on the computed tomography (CT) images.MethodsThis study retrospectively collected 171 nonsurgi
Externí odkaz:
https://doaj.org/article/d83371141026435e9a207d8aed063f95
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
Externí odkaz:
https://doaj.org/article/5ed5b29e795345649585737ed3807ebe
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
BackgroundA deep learning (DL) model based on representative biopsy tissues can predict the recurrence and overall survival of patients with glioma, leading to optimized personalized medicine. This research aimed to develop a DL model based on hemato
Externí odkaz:
https://doaj.org/article/3d0a505f9b5847618c1c15ecfd60d2d6
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Aberrant expression of chromatin regulators (CRs) could lead to the development of various diseases including cancer. However, the biological function and prognosis role of CRs in colon adenocarcinoma (COAD) remains unclear. We performed the clusteri
Externí odkaz:
https://doaj.org/article/2435051a257d4a44910d5a29b68d6620
Autor:
Chao Li, Yuteng Pan, Xianghui Yang, Chenhua Luo, Jianfeng Qiu, Yongmei Hu, Zijian Zhang, Liting Shi, Liangfang Shen, Rongrong Zhou, Fushan Lu, Xiang Xiao, Tingyin Chen, Di Jing
Background To predict treatment response and 2 years overall survival (OS) of radio-chemotherapy in patients with esophageal cancer (EC) by radiomics based on the computed tomography (CT) images. Methods This study retrospectively collected 171 nonsu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2cc2c4accf6a5d44a80a7ee4e02d02a
https://doi.org/10.21203/rs.3.rs-2356516/v1
https://doi.org/10.21203/rs.3.rs-2356516/v1
