Zobrazeno 1 - 4
of 4
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
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