Abstract. As mammography moves towards completely digital and produces prohibitive amounts of data, compression plays an increasingly important role. Although current lossless comp...
Jun Zheng, Olac Fuentes, Ming-Ying Leung, Elais Ja...
Image-guided neurosurgical interventional procedures utilize medical imaging techniques to identify the most appropriate path for accessing a targeted structure. Often, preoperativ...
Nikhil V. Navkar, Nikolaos V. Tsekos, R. Jason Sta...
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
Seppo Puuronen, Mykola Pechenizkiy, Alexey Tsymbal
This paper presents the integration of a workflow management system into the VL-e Medical software architecture. Workflows are designed with the Taverna workbench, and then execute...
This paper presents a medical image retrieval framework that uses visual concepts in a feature space employing statistical models built using a probabilistic multi-class support v...
Md. Mahmudur Rahman, Sameer Antani, George R. Thom...
In medical imaging, constructing an atlas and bringing an image set in a single common reference frame may easily lead the analysis to erroneous conclusions, especially when the po...
Giorgos Sfikas, Christian Heinrich, Christophoros ...
We present the design and implementation of a digital image capture and distribution system that supports remote ultrasound ezaminations and, in particular, real-time diagnosis fo...
John W. Sublett, Bert J. Dempsey, Alfred C. Weaver
Complex clinical problems involving huge experimental evidence require a preliminary validation of observed data. This may avoid biasing due to incorrect sampling and clarify the ...