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.
Advances in the field over the years have made medical imaging an indispensable part of medicine. Today, the use of medical images is often critical for diagnosis and treatment planning. The efficient processing and analysis of the large imaging data sets that have accompanied the rise in popularity of medical imaging have presented significant challenges that have yet to be successfully overcome...
Brain tumor segmentation, an essential but challenging task, has long attracted much attention from the medical imaging community. Recently, successful applications of sparse coding and dictionary learning has emerged in various vision problems including image segmentation. In this paper, a superpixel-based framework for automated brain tumor segmentation is introduced. The kernel trick is adopted...
As a critical unit of computer vision (CV) based applications, image segmentation is quite worth studying. Hybrid method of spatial credibilistic clustering and particle swarm optimization (SCCPSO) is a novel effective segmentation method. It's proved to produce better results than other common methods. In this paper, SCCPSO is further investigated by discussing several key points such as membership...
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.