You can log in to Novell GroupWise by clicking on the official link provided. When you open the page, enter your username and password and click “Login”. After you successfully login, a screen will appear on your screen. The screen may not reflect the views of PWCS.
Logging into Novell GroupWise
The first step to login to Novell GroupWise PWCs is to open the official login page. Then, type in your username and password. Once you are successful, a screen will appear. However, it is important to note that this screen may not reflect the views of the PWCS.
Adding a name to a groupwise pwcs
In order to add a name to a GroupWise PWCS, a user must first log into their account. After entering the username and password, the user is taken to the GroupWise login screen. After successfully logging in, the user can view the GroupWise mail inbox.
Using Groupwise MotionNet
Groupwise MotionNet is an augmented neural network that integrates motion information from neighboring frames to boost its performance. The architecture is shown in Figure 4, and this method can be used to detect and track motion over the course of a full cardiac cycle. This method has been successfully evaluated with data from both healthy volunteers and patients with hypertrophic cardiomyopathy and myocardial infarction.
The MICCAI 2011 STACOM dataset contains 45 subjects, consisting of 15 healthy controls, 15 HCM patients and 15 MI patients. It contains ten training datasets and fifteen testing datasets. This dataset is heterogeneous, but the trained model performed better than MotionNet alone.
Using Groupwise MotionNet reduced EPE significantly. In addition, the EPE was significantly lower than the EPE obtained by the Full Cardiac Cycle Registration method. In comparison, the Groupwise MotionNet method achieved a lower average EPE than MotionNet, FlowNetS and FlowNetC. The results of the motion tracking experiment are presented in Table I.