Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Shaolong Shi"'
Publikováno v:
IEEE Access, Vol 10, Pp 117033-117044 (2022)
Glioma is the most common type of brain tumor, and it has a high mortality rate. Accurate tumor segmentation based on magnetic resonance imaging (MRI) is of great significance for the diagnosis and treatment of brain tumors. Recently, the automatic s
Externí odkaz:
https://doaj.org/article/273c7bf0c5ea4556a8b92290c311df91
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
Publikováno v:
2022 IEEE 22nd International Conference on Nanotechnology (NANO).
Publikováno v:
2022 IEEE 22nd International Conference on Nanotechnology (NANO).
Publikováno v:
2022 IEEE 22nd International Conference on Nanotechnology (NANO).
Publikováno v:
IEEE Transactions on NanoBioscience. 20:154-165
We have proposed a new tumor sensitization and targeting (TST) framework, named in vivo computation, in our previous investigations. The problem of TST for an early and microscopic tumor is interpreted from the computational perspective with nanorobo
Autor:
Shaolong Shi, Guangzhi Zhu, U Kei Cheang, Xin Yao, Jiang Teng, Yu Zhou, Junfeng Xiong, Yifan Chen
Publikováno v:
IEEE Transactions on Nanotechnology. 19:71-75
In vivo evolutionary computation is a novel knowledge-aided, microrobots-oriented tumor targeting framework, where externally manipulable microrobots are employed to detect the cancer in the human vascular network similar to the procedure of solving
Publikováno v:
2021 IEEE 15th International Conference on Nano/Molecular Medicine & Engineering (NANOMED).
Publikováno v:
2021 IEEE 15th International Conference on Nano/Molecular Medicine & Engineering (NANOMED).
Publikováno v:
2021 International Conference on UK-China Emerging Technologies (UCET).