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...
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 ...
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...
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...
—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...
Stefan Klein, Marius Staring, Keelin Murphy, Max A...
Medical image interpretation is facing an important challenge resulting from the continuously increasing amount of imaging data. Innovations in medical image visualization are nece...
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...
—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...
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...
Hospital and clinical environments are moving towards computerisation, digitisation and centralisation, resulting in prohibitive amounts of digital medical image data. Compression...