FPL
2011
Springer
12 years 4 months ago
2011
Springer
Abstract—In the clinical applications, medical image registrations on the images taken from different times and/or through different modalities are needed in order to have an obj...
MIA
2010
12 years 11 months ago
2010
The automatic segmentation of the musculoskeletal system from medical images is a particularly challenging task, due to its morphological complexity, its large variability in the ...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
In this article, a new fragile, blind, high payload capacity, ROI (Region of Interest) preserving Medical image watermarking (MIW) technique in the spatial domain for grayscale med...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
Non-rigid image registration plays an important role in medical image analysis. Recently, Tang and Chung proposed to model the non-rigid medical image registration problem as an e...
TMI
2010
13 years 2 months ago
2010
—Medical image registration is an important task in medical image processing. It refers to the process of aligning data sets, possibly from different modalities (e.g., magnetic r...
TITB
2008
13 years 4 months ago
2008
Medical image interpretation is facing an important challenge resulting from the continuously increasing amount of imaging data. Innovations in medical image visualization are nece...
PRL
2008
13 years 4 months ago
2008
This paper reports the results of a study investigating the relevance criteria used by health care professionals when seeking medical images. Data was collected from 26 participan...
ENGL
2007
13 years 4 months ago
2007
—Curvelets denoise approach has been widely used in many fields for its ability to obtain high quality result images. However artifacts those appear in the result images of curve...
IJON
2008
13 years 4 months ago
2008
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
VIP
2003
13 years 5 months ago
2003
Hospital and clinical environments are moving towards computerisation, digitisation and centralisation, resulting in prohibitive amounts of digital medical image data. Compression...