Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ting-fan Wu"'
Autor:
Yi-Kang Sun, Bo-Yang Zhou, Yao Miao, Yi-Lei Shi, Shi-Hao Xu, Dao-Ming Wu, Lei Zhang, Guang Xu, Ting-Fan Wu, Li-Fan Wang, Hao-Hao Yin, Xin Ye, Dan Lu, Hong Han, Li-Hua Xiang, Xiao-Xiang Zhu, Chong-Ke Zhao, Hui-Xiong Xu
Publikováno v:
EClinicalMedicine, Vol 60, Iss , Pp 102027- (2023)
Summary: Background: Identifying patients with clinically significant prostate cancer (csPCa) before biopsy helps reduce unnecessary biopsies and improve patient prognosis. The diagnostic performance of traditional transrectal ultrasound (TRUS) for c
Externí odkaz:
https://doaj.org/article/f16435b04a0347a78e6b63b9a6c4159a
Autor:
Kai-Yu Sun, Hang-Tong Hu, Shu-Ling Chen, Jin-Ning Ye, Guang-Hua Li, Li-Da Chen, Jian-Jun Peng, Shi-Ting Feng, Yu-Jie Yuan, Xun Hou, Hui Wu, Xin Li, Ting-Fan Wu, Wei Wang, Jian-Bo Xu
Publikováno v:
BMC Cancer, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background Neoadjuvant chemotherapy is a promising treatment option for potential resectable gastric cancer, but patients’ responses vary. We aimed to develop and validate a radiomics score (rad_score) to predict treatment response to neoa
Externí odkaz:
https://doaj.org/article/cdd95af2551749509f73cdccca3beb5e
Autor:
Bo-Yang Zhou, Li-Fan Wang, Hao-Hao Yin, Ting-Fan Wu, Tian-Tian Ren, Chuan Peng, De-Xuan Li, Hui Shi, Li-Ping Sun, Chong-Ke Zhao, Hui-Xiong Xu
Publikováno v:
EBioMedicine, Vol 74, Iss , Pp 103684- (2021)
Background: Preoperative determination of breast cancer molecular subtypes facilitates individualized treatment plan-making and improves patient prognosis. We aimed to develop an assembled convolutional neural network (ACNN) model for the preoperativ
Externí odkaz:
https://doaj.org/article/29369f25cc1f4b5fa9bd98e9c1b2f059
Autor:
Han Xiao, Jia-Li Li, Shu-Ling Chen, Mi-Mi Tang, Qian Zhou, Ting-Fan Wu, Xin Li, Zhen-Wei Peng, Shi-Ting Feng, Sui Peng, Ming Kuang
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundPrevious studies demonstrated a promising prognosis in advanced hepatocellular carcinoma (HCC) patients who underwent surgery, yet a consensus of which population would benefit most from surgery is still unreached.MethodA total of 496 advan
Externí odkaz:
https://doaj.org/article/145c05a9164042a69426cf1994bf0056
Autor:
Jing-xian Shen, Qian Zhou, Zhi-hang Chen, Qiao-feng Chen, Shu-ling Chen, Shi-ting Feng, Xin Li, Ting-fan Wu, Sui Peng, Ming Kuang
Publikováno v:
Translational Oncology, Vol 14, Iss 1, Pp 100866- (2021)
Objectives: To develop a radiomics algorithm, improving the performance of detecting recurrence, based on posttreatment CT images within one month and at suspicious time during follow-up. Materials and methods: A total of 114 patients with 228 images
Externí odkaz:
https://doaj.org/article/610061fdfaa44f9b8706ed812248b323
Autor:
Ting-Fan Wu, Hui Shi, Haohao Yin, Bo-Yang Zhou, Li-Ping Sun, Chuan Peng, Chong-Ke Zhao, Hui-Xiong Xu, Li-Fan Wang, De-Xuan Li, Tian-Tian Ren
Publikováno v:
EBioMedicine, Vol 74, Iss, Pp 103684-(2021)
EBioMedicine
EBioMedicine
Background: Preoperative determination of breast cancer molecular subtypes facilitates individualized treatment plan-making and improves patient prognosis. We aimed to develop an assembled convolutional neural network (ACNN) model for the preoperativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66b38f37c2cf0a6c649c5ab8eb0136f7
http://www.sciencedirect.com/science/article/pii/S2352396421004783
http://www.sciencedirect.com/science/article/pii/S2352396421004783
Autor:
Hui-Xiong Xu, Hui Shi, Boyang Zhou, De-Xuan Li, Tiantain Ren, Ting-Fan Wu, Chong-Ke Zhao, Lifan Wang, Chuan Peng
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54c29b37bbcf33d7cf5d7f931b30d6fb
https://doi.org/10.2139/ssrn.3892133
https://doi.org/10.2139/ssrn.3892133
Autor:
Sun, Kai-Yu, Hang-Tong Hu, Chen, Shu-Ling, Ye, Jin-Ning, Li, Guang-Hua, Chen, Li-Da, Peng, Jian-Jun, Shi-Ting Feng, Yuan, Yu-Jie, Hou, Xun, Wu, Hui, Li, Xin, Ting-Fan Wu, Wang, Wei, Xu, Jian-Bo
Additional file 1: Table S1. A Summary of 1044 Radiomics Features, Table S2. A summary of radiomics features significantly associated with treatment response of neoadjuvant chemotherapy.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7060b3b35a3546a5c4f6deaacfcb86d3
Autor:
Wei Wang, Guang-Hua Li, Yujie Yuan, Xun Hou, Hang-Tong Hu, Kaiyu Sun, Hui Wu, Ting-Fan Wu, Jianjun Peng, Li-Da Chen, Shuling Chen, Jinning Ye, Shi-Ting Feng, Jianbo Xu, Xin Li
Background: Neoadjuvant chemotherapy is a promising treatment option for potential resectable gastric cancer, but patients’ responses varied. We aimed to develop and validate a radiomics score (rad_score) to predict the treatment response of neoadj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5ff92564b12d80ee243829415042d76
https://doi.org/10.21203/rs.2.17517/v1
https://doi.org/10.21203/rs.2.17517/v1
Autor:
Littlewort, G., Whitehill, J., Ting-Fan Wu, Butko, N., Ruvolo, P., Movellan, J., Bartlett, M.
Publikováno v:
2011 IEEE International Conference on Automatic Face & Gesture Recognition & Workshops (FG 2011); 2011, p897-902, 6p