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.
PET and CT image registration is an important tool of clinical diagnosis of diseases. For PET and CT images, a preprocessing algorithm of medical image registration is proposed in this paper. The algorithm process includes image normalization, CT image adaptive threshold adjustment and automatic extraction of tissues based on morphology, edge detection and statistical analysis theory, and improved...
Early detection of pulmonary nodules on multi-slice computed tomography (MSCT) is an important clinical indication for early-stage lung cancer diagnosis. Currently, support vector machines (SVMs) have been widely used in pattern recognition. We are developing a nodule detection system by using the combination of SVMs. For training and testing the SVM classifier, a lung nodule simulation method in...
The detection of pulmonary nodules is proven to be of critical importance in early-stage lung cancer diagnosis. Many computer aided detection (CAD) methods combined with morphological approach and pattern recognition technology to identify lung nodules have been proposed to assist the radiologists to improve sensitivity of diagnosis. We present a computer aided lung nodule detection scheme based on...
We propose a morphological quantitative evaluation method for the aging analysis of the handback skin. First of all, the non-invasive method of digital imaging technology is adopted to get the handback skin morphological data. Then, based on the algorithms of gray-level co-occurrence matrix and displacement co-occurrence matrix, morphological features of the individual handback skins are measured...
Multiple-instance learning is a special machine learning algorithm between supervised learning and unsupervised learning, which has been used in medicine design, image retrieval and other research fields, and attained good performance. Diverse Density (DD) algorithm is a typical multiple- instance learning method. Due to the character of sparse positive instances, when classifying the bags which include...
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.