Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Carl Petter Skaar Kulseng"'
Autor:
Carl Petter Skaar Kulseng, Varatharajan Nainamalai, Endre Grøvik, Jonn-Terje Geitung, Asbjørn Årøen, Kjell-Inge Gjesdal
Publikováno v:
BMC Musculoskeletal Disorders, Vol 24, Iss 1, Pp 1-12 (2023)
Abstract Background To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse sequences, and evaluate possible clinical usefulness. Methods The samp
Externí odkaz:
https://doaj.org/article/6d627aa6890f441e83e7d08f5347cf35
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 283 (2021)
Accurately identifying the pixels of small organs or lesions from magnetic resonance imaging (MRI) has a critical impact on clinical diagnosis. U-net is the most well-known and commonly used neural network for image segmentation. However, the small a
Externí odkaz:
https://doaj.org/article/3bfc8348837944fa8f6e5525fbd24d9f
Publikováno v:
Radiography Open, Vol 2, Iss 1, Pp 91-98 (2015)
Positronemisjonstomografi (PET) er en bildediagnostisk undersøkelse med et stort klinisk potensiale [1]. Det er forventet et enormt behov for PET-undersøkelser i tiden fremover. Rapporten Estimering av behovet for PET/CT i 2020 på regionalt nivå
Externí odkaz:
https://doaj.org/article/f406aa923fa742088e522926c93d0622
Publikováno v:
Radiography Open, Vol 2, Iss 1, Pp 1-14 (2015)
Introduction The purpose of this two--folded quantitative study was to determine the radiation doses received by staff during 2014 at the PET--department at St. Olavs Hospital in Trondheim, Norway. Although studies show that the doses received by sta
Externí odkaz:
https://doaj.org/article/9ed46a710cc54ab183c69e7c9dd4d0cf
Publikováno v:
Placenta. 134:23-29
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8424039353c5a4b9e035d3a197b9c102
https://doi.org/10.1016/j.placenta.2023.02.009
https://doi.org/10.1016/j.placenta.2023.02.009