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.
Breast cancer is reported to be the second deadliest cancer among cancerous woman. Statistics show that the case of breast cancer in the world is increasing every year. By analyzing a mammogram, pathologists could detect the presence of micro calcification in ones breast. However, micro calcification could be classified into benign and malignant. The later indicates the presence of cancer. Computer-Aided...
Cancer of the breast is the most common cancer among women. Testing for detection of this cancer involves visual microscopic test of cytology samples such as Fine Needle Aspiration Cytology (FNAC). The result of analysis on this sample by Cyto-pathologist is crucial for breast cancer patient. In this paper, Complex wavelets are employed for multiscale image analysis to extract feature set for the...
X-ray mammograms are one of the most common techniques used by radiologists for breast cancer detection and diagnosis. Early detection is important, which raised the importance of developing Computer-Aided Detection and Diag-nosis(CAD) systems. Although most(CAD)systems were designed to help radiologists in their diagnosis by providing useful insight, the accuracy of CAD systems remains below the...
Mammography, which uses X-ray technology to image the breast, is currently the most effective and reliable method for early cancer detection. There exists limitations of human observers: up 30% of breast lessions are missed during routine screening. It is believed that computer-aided detection (CAD) schemes could ultimately provide a useful “second option” for radiologists and potentially improve...
This paper proposes a classification method based on Complex Event Processing (CEP) for mammogram images. For breast cancer detection and early prevention, several factors must be considered. Mammogram is important and effective in breast cancer diagnosis. The Radiologist must analyze visually, based on his expertise, to determine whether it is cancer or not. We explore the use of CEP for breast cancer...
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.