Automated segmentation and analysis of tree-like structures from 3D medical images are important for many medical applications, such as those dealing with blood vasculature or lun...
In this paper, we propose a novel compression scheme for medical images with extended bit depth. Our scheme efficiently utilizes the VOI (value of interest) settings of the medica...
In this paper, a close-form B-snake model is presented for contour extraction in medical images. Based on our previous research work [lo], the Principal Component Analysis (PCA) h...
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
The aim of medical image registration is to bring different images into the best possible spatial correspondence in order to obtain complementary information for clinical applicat...
Evgeny Gladilin, Vladimir Pekar, Karl Rohr, H. Sie...
We present a system known as Med-LIFE (Medical application of Learning, Image Fusion, and Exploration) currently under development for medical image analysis. This pipelined syste...
The accurate quantification of disease patterns in medical images allows radiologists to track the progress of a disease. Various computer vision techniques are able to automatica...
There is a significant increase in the use of medical images in clinical medicine, disease research, and education. While the literature lists several successful systems for conte...
Sameer Antani, Thomas Martin Deserno, L. Rodney Lo...
Visual information retrieval is an emerging domain in the medical field as it has been in computer vision for more than ten years. It has the potential to help better managing the ...
Enforcing protection of medical content becomes a major issue of computer security. Since medical contents are more and more widely distributed, it is necessary to develop security...