Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yuanfang Pu"'
Publikováno v:
International Journal of Hyperthermia, Vol 37, Iss 1, Pp 617-623 (2020)
Objective To compare the pregnancy outcomes between ultrasound-guided high-intensity focused ultrasound (USgHIFU) ablation and laparoscopic myomectomy (LM). Materials and methods This study included 676 women with symptomatic uterine fibroids who wis
Externí odkaz:
https://doaj.org/article/1eee9190f11b49a59da6037767d49bcf
Publikováno v:
Ginekologia Polska.
This study intended to compare the safety and clinical efficacy between two treatments of uterine fibroids: laparoscopic myomectomy (LM) and high intensity focused ultrasound (HIFU).Clinical data were collected from 587 uterine fibroid patients who w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c914ba649e53cb13b027527b399f8d7
https://doi.org/10.5603/gp.a2022.0034
https://doi.org/10.5603/gp.a2022.0034
Publikováno v:
Ginekologia Polska; 2023, Vol. 94 Issue 5, p358-365, 8p
Publikováno v:
International Journal of Hyperthermia, Vol 37, Iss 1, Pp 617-623 (2020)
Objective To compare the pregnancy outcomes between ultrasound-guided high-intensity focused ultrasound (USgHIFU) ablation and laparoscopic myomectomy (LM). Materials and methods This study included 676 women with symptomatic uterine fibroids who wis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02d7a179a1fe93cd30e152e4c73bf133
https://pubmed.ncbi.nlm.nih.gov/32525708
https://pubmed.ncbi.nlm.nih.gov/32525708
Publikováno v:
2009 Joint Conferences on Pervasive Computing (JCPC).
It is important that the training time of the Support Vector Machine (SVM) is shortened and storage space requirement is reduced for high-speed and large-scale network. An intrusion detection method based on parallel SVM is proposed and a detection m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d6b2a818c0eeeb362436e5b79b0cf11
https://doi.org/10.1109/jcpc.2009.5420129
https://doi.org/10.1109/jcpc.2009.5420129
Publikováno v:
2009 Joint Conferences on Pervasive Computing (JCPC); 2009, p515-518, 4p