Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Fucang Ji"'
Autor:
Quanman Hu, Yaqi Xie, Fucang Ji, Fei Zhao, Xiaoru Song, Saiwei Lu, Zijie Li, Juan Geng, Haiyan Yang, Jinzhao Long, Yuefei Jin, Shuaiyin Chen, Guangcai Duan
Publikováno v:
Vaccines, Vol 12, Iss 9, p 1028 (2024)
Background: Vaccination is a highly effective strategy for the prevention of enterovirus A71 (EV-A71)—hand, foot, and mouth disease (HFMD). Three inactivated EV-A71 vaccines in China have demonstrated remarkable efficacy against EV-A71-HFMD during
Externí odkaz:
https://doaj.org/article/7f28ff3ac3124262a344433845a8f357
Publikováno v:
Computer Assisted Surgery, Vol 29, Iss 1 (2024)
AbstractThe real-time requirement for image segmentation in laparoscopic surgical assistance systems is extremely high. Although traditional deep learning models can ensure high segmentation accuracy, they suffer from a large computational burden. In
Externí odkaz:
https://doaj.org/article/5d2817457b9843299f1d239c0dcb5e00
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
Anatomical network analysis (AnNA) is a systems biological framework based on network theory that enables anatomical structural analysis by incorporating modularity to model structural complexity. The human brain and facial structures exhibit close s
Externí odkaz:
https://doaj.org/article/914c481c5f7c47aaabd86d68109562c9
Autor:
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Golia Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Ildoo Kim, Klaus Maier-Hein, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
International challenges have become the de facto standard for comparative assessment of image analysis algorithms. Here, the authors present the results of a biomedical image segmentation challenge, showing that a method capable of performing well o
Externí odkaz:
https://doaj.org/article/b2b75489b22a48efa4cd6eef2bea9d67
Autor:
Baochun He, Dalong Yin, Xiaoxia Chen, Huoling Luo, Deqiang Xiao, Mu He, Guisheng Wang, Chihua Fang, Lianxin Liu, Fucang Jia
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Most existing algorithms have been focused on the segmentation from several public Liver CT datasets scanned regularly (no pneumoperitoneum and horizontal supine position). This study primarily segmented datasets with unconvention
Externí odkaz:
https://doaj.org/article/3c62fd767e564528817c671573a9db94
Publikováno v:
Computer Assisted Surgery, Vol 24, Iss 0, Pp 30-35 (2019)
Minimally invasive laparoscopic surgery is associated with small wounds and short recovery time, reducing postoperative infections. Traditional two-dimensional (2D) laparoscopic imaging lacks depth perception and does not provide quantitative depth i
Externí odkaz:
https://doaj.org/article/9bc84048096b4234bff5bbd58923bbb4
Publikováno v:
Computer Assisted Surgery, Vol 0, Iss 0, Pp 1-7 (2019)
Minimally invasive surgery (MIS) is characterized by less trauma, shorter recovery time, and lower postoperative infection rate. The two-dimensional (2D) laparoscopic imaging lacks depth perception and does not provide quantitative depth information,
Externí odkaz:
https://doaj.org/article/b872f9f9fb074d598c0c87ead8b79468
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundAccurate determination of intrahepatic anatomy remains challenging for laparoscopic anatomical hepatectomy (LAH). Laparoscopic augmented reality navigation (LARN) is expected to facilitate LAH of primary liver cancer (PLC) by identifying th
Externí odkaz:
https://doaj.org/article/9d9eb145dc9f4a918967519bd113300a
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
ObjectiveThis study aimed to build and evaluate a radiomics feature-based model for the preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular carcinoma.MethodsA total of 145 patients were retrospectively included in
Externí odkaz:
https://doaj.org/article/7aeeca6e2be54b07bce15a52ca0524bd
Publikováno v:
BioMedical Engineering OnLine, Vol 17, Iss 1, Pp 1-19 (2018)
Abstract Objective In this paper, we aim to investigate the effect of computer-aided triage system, which is implemented for the health checkup of lung lesions involving tens of thousands of chest X-rays (CXRs) that are required for diagnosis. Theref
Externí odkaz:
https://doaj.org/article/0651ceb9a36e483794499d2f0818af09