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.
In this paper, a superpixel and convolution neural network (CNN) based segmentation method is proposed for cervical cancer cell segmentation. Since the background and cytoplasm contrast is not relatively obvious, cytoplasm segmentation is first performed. Deep learning based on CNN is explored for region of interest detection. A coarse-to-fine nucleus segmentation for cervical cancer cell segmentation...
In order to optimize the human-computer interaction technology of 3D interface, and solve the problem of realizing the three-dimensional moving operations via two-dimensional plane by controlling the mouse, after achieving the target of model can move freely in 3D space, it has researched the algorithm of models move intelligently in 3D space, by introducing the thought of bounding box and using improved...
In this paper, a global and local scheme based on graph cuts approach is proposed to segment cervical cells in images with a mix of healthy and abnormal cells. For cytoplasm segmentation, on the A∗ channel enhanced image, the multi-way graph cut is performed globally, which can effectively extract cytoplasm boundaries when image histograms present non-bimodal distribution. For nucleus especially abnormal...
Ensemble learning aims to improve generalization ability by using multiple base learners. It is well-known that to construct a good ensemble, the base learners should be accurate as well as diverse. In this paper, unlabeled data is exploited to facilitate ensemble learning by helping augment the diversity among the base learners. Specifically, a semi-supervised ensemble method named UDEED is proposed...
The agricultural information level is on the initial stage in Hebei province, so we should pay more attention to its construction. And on this basis we can find out the influencing factors and corresponding countermeasures. To evaluate the agricultural information degree in Hebei province scientifically and accurately, this paper establish the agricultural information degree (AID) evaluation model...
In order to improve the energy-saving efficiency, a novel heat load prediction method based on radial basis function neural network (RBF NN) and time series crossover is proposed according to the characteristics of heat supply process. The dimension of the input vector in the RBF NN model is established with autocorrelation method. Then the horizontal and vertical prediction models are constructed...
The snow-covered information, including snow-covered area, snow depth and snow water equivalent have been extracted from the remote sensing imagery of CBERS-02 satellite over the area of Jiaodong Peninsula in west Shandong Province, one of the snowiest regions in China. Based on the pre-processing of remote sensing data of CBERS-02 imagery, the statistical analysis of spectral characteristics has...
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.