Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Danju Huang"'
Publikováno v:
Technology in Cancer Research & Treatment, Vol 20 (2021)
Purpose: This study aimed to evaluate (1) the performance of the Auto-Planning module embedded in the Pinnacle treatment planning system (TPS) with 30 left-side breast cancer plans and (2) the dose-distance correlations between dose-based patients an
Externí odkaz:
https://doaj.org/article/17ec605db20141bea7a4fdf98a9fa554
Autor:
Danju Huang, Han Bai, Li Wang, Yu Hou, Lan Li, Yaoxiong Xia, Zhirui Yan, Wenrui Chen, Li Chang, Wenhui Li
Publikováno v:
Technology in Cancer Research & Treatment, Vol 20 (2021)
With the massive use of computers, the growth and explosion of data has greatly promoted the development of artificial intelligence (AI). The rise of deep learning (DL) algorithms, such as convolutional neural networks (CNN), has provided radiation o
Externí odkaz:
https://doaj.org/article/b4ae79bcc1d14b4d8a4edf1298aca018
Autor:
Lujie Yang, Xianfeng Lu, Jiamin Luo, Danju Huang, Xiaoyan Dai, Yuxin Yang, Nan Dai, Yanli Xiong
Publikováno v:
American Journal of Clinical Oncology; Mar2024, Vol. 47 Issue 3, p115-121, 7p
Autor:
Mingjian Tan, Hengyu Zhang, Xin Tan, Danju Huang, Hongwan Li, Huimeng Li, Shicong Tang, Rong Guo, Dequan Liu, Ke Wang, Yingzhu Zhao, Fan Zhang
Publikováno v:
Gland Surg
Background Overweight and obesity have become a major health issue in the past 30 years. Several studies have already shown that obesity is significantly associated with a higher risk of developing breast cancer. However, few studies have assessed th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7313dac29b03cba4084d559eef8fcc72
https://doi.org/10.21037/gs-20-488
https://doi.org/10.21037/gs-20-488
Autor:
Lan Li, Danju Huang, Zhirui Yan, Yu Hou, Li Wang, Yaoxiong Xia, Li Chang, Han Bai, Wenhui Li, Wenrui Chen
Publikováno v:
Technology in Cancer Research & Treatment
Technology in Cancer Research & Treatment, Vol 20 (2021)
Technology in Cancer Research & Treatment, Vol 20 (2021)
With the massive use of computers, the growth and explosion of data has greatly promoted the development of artificial intelligence (AI). The rise of deep learning (DL) algorithms, such as convolutional neural networks (CNN), has provided radiation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db214e17f785bd7249db3f081336239
http://europepmc.org/articles/PMC8216350
http://europepmc.org/articles/PMC8216350
Autor:
Danju Huang, Han Bai, Li Wang, Yu Hou, Lan Li, Yaoxiong Xia, Wenrui Chen, Zhirui Yan, Zhaocai Chen, Wei Zhang, Li Chang, Wenhui Li
Background: We aimed to compare the segmentation accuracy of heart substructure on contrast enhanced CT by deep neural network combined with different loss functions.Methods: We collected 35 thoracic tumor patients admitted to the Department of Radia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ccd0bc14c0db4326732a8f0256824ce
https://doi.org/10.21203/rs.3.rs-83236/v1
https://doi.org/10.21203/rs.3.rs-83236/v1
