Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Rethy Chhem"'
Autor:
Rethy Chhem
Publikováno v:
Medicine Anthropology Theory, Vol 5, Iss 2 (2018)
n/a
Externí odkaz:
https://doaj.org/article/b6b72b84861a4cf8a7407e62f90bf725
Publikováno v:
International Journal of Osteoarchaeology. 30:417-424
Publikováno v:
Journal of Cambodian Health. 1
Autor:
Kiyotaka, Yasui, Yuko, Kimura, Kenji, Kamiya, Rie, Miyatani, Naohiro, Tsuyama, Akira, Sakai, Koji, Yoshida, Shunichi, Yamashita, Rethy, Chhem, May, Abdel-Wahab, Akira, Ohtsuru
Publikováno v:
Asia-Pacific journal of public health. 29(2_suppl)
Since radiation accidents, particularly nuclear disasters, are rarer than other types of disasters, a comprehensive radiation disaster medical curriculum for them is currently unavailable. The Fukushima compound disaster has urged the establishment o
Publikováno v:
Science (New York, N.Y.). 352(6286)
[Figure][1] Holding a bonsai plant grown while evacuated, a Kawauchi resident returns to his home. PHOTO: KYODO The March 2011 accident at the Fukushima Daiichi Nuclear Power Plant caused extensive human suffering and revealed the need for more effec
Publikováno v:
American Journal of Roentgenology. 189:W105-W110
OBJECTIVE. Our objective was to present the MR and MR spectroscopy imaging findings of a 3,200-year-old preserved brain from an Egyptian mummy.MATERIALS AND METHODS. In this work, the morphology of the intact specimen was examined by MRI at 1.5 T. Ch
Publikováno v:
Nature Precedings.
Autor:
Lisa M. Hoffman, Ting-Yim Lee, David E. Hill, Rethy Chhem, Robert W. Grange, Ian Welch, Mike Bygrave, Aaron Fenster, Nabeel Ahmad
Publikováno v:
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine. 28(6)
Objective. This study used high-frequency ultrasound (HFU) imaging to assess muscle damage nonin-vasively in a longitudinal study of 2 transgenic murine models of Duchenne muscular dystrophy (DMD): mdx, which has mutated cytoskeletal protein dystroph
Publikováno v:
Medical Imaging: Image Processing
The level set framework has proven well suited to medical image segmentation 1-6 thanks to its ability of balancing the contribution of image data and prior knowledge in a principled, flexible and transparent way. It consists of evolving a curve towa
Publikováno v:
Medical Imaging: Image Processing
Image segmentation plays an important role in medical image analysis and visualization since it greatly enhances the clinical diagnosis. Although many algorithms have been proposed, it is still challenging to achieve an automatic clinical segmentatio