Zobrazeno 1 - 10
of 971 168
pro vyhledávání: '"CT Scan"'
Autor:
Thuy Chung TRAN PHAN1 drthuytranent@gmail.com, Kiet Vuong DANG2
Publikováno v:
Medeniyet Medical Journal. Jun2024, Vol. 39 Issue 2, p85-90. 6p.
Autor:
Asim, Syed Jehanzeb1 jehanzebasim53@gmail.com, Masood, Zubia2, Soomro, Erum3, Qureshi, Abdul Sami3
Publikováno v:
Pakistan Journal of Medical Sciences. Oct2024, Vol. 40 Issue 9, p2052-2055. 4p.
Autor:
Winarno1, Nurdin, Dezy Zahrotul Istiqomah2, Novianjani, Shella1,3, Permatasari, Perwira Annissa Dyah4, Anam, Choirul4, Astuti, Suryani Dyah1 suryanidyah@fst.unair.ac.id
Publikováno v:
Hellenic Journal of Radiology. Apr-Jun2024, Vol. 9 Issue 2, p12-20. 9p.
Autor:
ALOTAIBI, NARJES S.1 n.alnajdialotaibi@qu.edu.sa
Publikováno v:
Saudi Journal of Anaesthesia. Oct-Dec2024, Vol. 18 Issue 4, p540-544. 5p.
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract In light of the ongoing battle against COVID-19, while the pandemic may eventually subside, sporadic cases may still emerge, underscoring the need for accurate detection from radiological images. However, the limited explainability of curren
Externí odkaz:
https://doaj.org/article/368dda890e1748b1a144dc7ed953ab09
Autor:
Narjes S. Alotaibi
Publikováno v:
Saudi Journal of Anaesthesia, Vol 18, Iss 4, Pp 540-544 (2024)
This systematic review evaluates the efficacy and safety of dexmedetomidine as a sedative for pediatric patients undergoing MRI and CT scans outside the operating room. A comprehensive search of databases, including PubMed, MEDLINE, and Cochrane Libr
Externí odkaz:
https://doaj.org/article/51056aa63a4843318fc88cb7ea3d3f11
Autor:
Behrend E; Service des urgences, Groupement Hospitalier de l'Ouest Lémanique, 1260 Nyon., Schellongova M; Service des urgences, Groupement Hospitalier de l'Ouest Lémanique, 1260 Nyon., Abi-Khalil M; Service des urgences, Groupement Hospitalier de l'Ouest Lémanique, 1260 Nyon.
Publikováno v:
Revue medicale suisse [Rev Med Suisse] 2024 Aug 21; Vol. 20 (883), pp. 1391-1395.
Autor:
Periyasamy, Vinodhini1, Deepa, K. S.2, Mythilikrishnan, R.3, Kishore, G. Krishna1 krishnakishore.dev@gmail.com, Anupama, D.4
Publikováno v:
Journal of Clinical & Diagnostic Research. Jul2024, Vol. 18 Issue 7, p1-5. 5p.
The shortage of nephrologists and the growing public health concern over renal failure have spurred the demand for AI systems capable of autonomously detecting kidney abnormalities. Renal failure, marked by a gradual decline in kidney function, can r
Externí odkaz:
http://arxiv.org/abs/2404.14560
Autor:
Hastyantoko Dwiki Kahingide, Abu Salam
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 1, Pp 98-105 (2024)
Image processing plays a crucial role in identifying kidney tumors through CT-Scan images. Object detection technology, particularly YOLO, stands out for its speed and accuracy in facilitating more detailed analysis. Using Flask as a web framework of
Externí odkaz:
https://doaj.org/article/d65e8b07745444acb5cfdbbec2af71fc