Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Qianhao Fang"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-14 (2020)
Abstract Background Accurately determining the softness level of pituitary tumors preoperatively by using their image textures can provide a basis for surgical options and prognosis. Existing methods for this problem require manual intervention, whic
Externí odkaz:
https://doaj.org/article/150ee3bc706f4a2099c96abd75a323b8
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-14 (2020)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Accurately determining the softness level of pituitary tumors preoperatively by using their image textures can provide a basis for surgical options and prognosis. Existing methods for this problem require manual intervention, which could h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb9f89dcc1913a8f7eee5efaa78eba97
https://doi.org/10.21203/rs.2.18161/v1
https://doi.org/10.21203/rs.2.18161/v1
Publikováno v:
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine, Vol 2019 (2019)
Computational and Mathematical Methods in Medicine, Vol 2019 (2019)
Meningioma is the second most commonly encountered tumor type in the brain. There are three grades of meningioma by the standards of the World Health Organization. Preoperative grade prediction of meningioma is extraordinarily important for clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1cfe1a37a1e555882c0c2f019a3624b
http://europepmc.org/articles/PMC6791208
http://europepmc.org/articles/PMC6791208
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2018 (2018)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
In this paper, we propose a novel algorithm for medical image segmentation, which combines the density peaks clustering (DPC) with the fruit fly optimization algorithm, and it has the following advantages. Firstly, it avoids the problem of DPC that n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5622f1aec02ce85dcd9190828e15e8c4
https://doaj.org/article/bb71f59f0479444c926821b869f9b1f1
https://doaj.org/article/bb71f59f0479444c926821b869f9b1f1
Publikováno v:
Computational & Mathematical Methods in Medicine. 10/1/2019, p1-9. 9p.
Publikováno v:
Computational & Mathematical Methods in Medicine. 12/24/2018, p1-11. 11p.
Autor:
Zhu, Hong1,2 (AUTHOR) zhuhong@xzhmu.edu.cn, Fang, Qianhao1 (AUTHOR), Huang, Yihe1 (AUTHOR), Xu, Kai3 (AUTHOR) Xukai@xzhmu.edu.cn
Publikováno v:
BMC Medical Informatics & Decision Making. 9/9/2020, Vol. 20 Issue 1, pN.PAG-N.PAG. 1p.
This book provides an in-depth analysis of the current evolutionary clustering techniques. It discusses the most highly regarded methods for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary