Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Siyi Xun"'
Autor:
Siyi XUN, Yan ZHANG, Sixu DUAN, Mingwei WANG, Jiangang CHEN, Tong TONG, Qinquan GAO, Chantong LAM, Menghan HU, Tao TAN
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 6, Iss 3, Pp 203-216 (2024)
Background: Magnetic resonance imaging (MRI) has played an important role in the rapid growth of medical imaging diagnostic technology, especially in the diagnosis and treatment of brain tumors owing to its non-invasive characteristics and superior s
Externí odkaz:
https://doaj.org/article/ca0cc5c57df54e40a1b9fcc5d974e71d
Publikováno v:
Advanced Ultrasound in Diagnosis and Therapy, Vol 7, Iss 2, Pp 61-72 (2023)
In recent years, ultrasound imaging has become an important means of medical diagnosis because of its safety and radiation-free advantages. With the continuous progress of deep learning, Artificial Intelligence (AI) models can process large amounts o
Externí odkaz:
https://doaj.org/article/2abf5b9bdc1645769a35e0f1bb1864ea
Publikováno v:
2022 5th International Conference on Computer Science and Software Engineering (CSSE 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df4c2d9ea20e4457a3db3fbb1b32f505
https://doi.org/10.1145/3569966.3570060
https://doi.org/10.1145/3569966.3570060
Autor:
Pu Huang, Zekun Jiang, Jie Li, Jianbo Wang, Hui Zhu, Chen Meirong, Min Chen, Bing Wu, Dengwang Li, Yan Zhang, Hua Zhang, Siyi Xun, Xiangfei Chai
Publikováno v:
Computers in Biology and Medicine. 140:105063
Purpose Since Generative Adversarial Network (GAN) was introduced into the field of deep learning in 2014, it has received extensive attention from academia and industry, and a lot of high-quality papers have been published. GAN effectively improves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce6c7f25d3fc89818dfd8fb9b1b4cbba
https://doi.org/10.1016/j.compbiomed.2021.105063
https://doi.org/10.1016/j.compbiomed.2021.105063