نتایج جستجو برای: radiographic image interpretation

تعداد نتایج: 541934  

2017
Carson A. Wick

The addition of patient photographs to radiology studies has a number of possible benefits including reducing wrong-patient errors [1, 2], providing context to the radiologist for interpretation, and reconnecting the radiologist with the patient. By providing the radiologist with photographs corresponding to radiology studies, wrong-patient errors can be identified readily when comparative stud...

Seismic modeling aids the geophysicists to have a better understanding of the subsurface image before the seismic acquisition, processing, and interpretation. In this regard, seismic survey modeling is employed to make a model close to the real structure and to obtain very realistic synthetic seismic data. The objective of this study is to analyze the resolution and illumination of the fault by...

2011
Faiza Mekhalfa Daoud Berkani

Based on the standard fractal transformation in spatial domain, simple relations may be found relating coefficients in detail subbands in the wavelet domain. In this work we evaluate a hybrid wavelet-fractal image coder, and we test its ability to compress radiographic images of weld defects. A comparative study between the hybrid coder and standard fractal compression technique have been made ...

2012
H. Kasban O. Zahran H. Arafa M. S. Elaraby F. E. Abd El-Samie

This paper presents some image processing techniques that can be used for radiographic image enhancement. Contrast enhancement, filtering, denoising, and interpolation processes are carried out in this paper. Contrast enhancement is carried out using adaptive histogram equalization. Filtering is carried out using median, Wiener, Lee, and Kuan filters. Wavelet and curvelet transforms are used fo...

Journal: :Research Journal of Applied Sciences, Engineering and Technology 2013

Journal: :JAMA: The Journal of the American Medical Association 1905

Journal: :Japanese Journal of Radiological Technology 1984

Journal: :International Journal of Machine Learning and Computing 2012

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