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.
There is need to quantify the dental plaque in order to keep fit and prevent occurrence from vital diseases. Dental plaque quantification is very crucial to patients, dentists as well as researchers. This paper presented a method to automatically quantifying the dental plaque in digital tooth images using mean shift. The proposed approach was applied to a clinical database consisting of 30 objects...
There is need to quantify the dental plaque in order to keep fit and prevent vital diseases' occurrence. Dental plaque quantification is very crucial to patients, dentists as well as researchers. This paper presented a method to automatically quantifying the dental plaque in digital tooth images using fuzzy c-means (FCM) clustering algorithm associated with images' histogram analysis. The proposed...
Detection and quantification of dental plaque is very crucial to both patients and their clinicians. However, traditional dental plaque indices used to measure the dental plaque are subjective, semi-quantitative because the measurements rely primarily on the clinician's ability to demarcate or score areas of disclosed plaque using visual examination. To overcome the shortcomings of traditional indices,...
An automated image analysis method for extracting the number of peroxisomes in yeast cells is presented. Two images of the cell population are required for the method: a bright field microscope image from which the yeast cells are detected and the respective fluorescent image from which the number of peroxisomes in each cell is found. The segmentation of the cells is based on clustering the local...
An automated image analysis method for extracting the number of peroxisomes in yeast cells is presented. Two images of the cell population are required for the method: a bright field microscope image from which the yeast cells are detected and the respective fluorescent image from which the number of peroxisomes in each cell is found. The segmentation of the cells is based on clustering the local...
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.