The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Reduction of the error rate of melanoma diagnosis, a critical and very dangerous skin cancer that could be treated when early detected, is of major importance. Towards this direction, the present paper presents a novel ensemble classification technique, combining traditional Random Forests with the `Markov Blanket' notion. The proposed algorithm performs an inherent feature selection phase where only...
Accurate segmentation of magnetic resonance images according to tissue type is widely studded by many researcher, Recently Markov Random Field (MRF) has been used in this area. However the original MRF is supervised. So we introduce a novel approach called Dirichlet Markov Random Field for Magnetic Resonance Image (MRI) brain tissue classification. The approach uses Dirchilet Process Mixture (DPM)...
A k -space-time Bayesian statistical reconstruction method (K-Bayes) is proposed for the reconstruction of metabolite images of the brain from proton (1 H) magnetic resonance (MR) spectroscopic imaging (MRSI) data. K-Bayes performs full spectral fitting of the data while incorporating structural (anatomical) spatial information through the prior distribution. K-Bayes provides increased spatial resolution...
An improved MAP-EM algorithm is proposed for Bayesian reconstruction in X-ray CT based upon Markov random field priors and the Poisson data model. The improved algorithm can yield better reconstruction than MAP-EM algorithm, and its convergence is faster. The improved method is verified by applications to computer simulation data and real X-ray CT data from two aluminous tubes scans. Experiments results...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.