![]() The plugin also continues to support interactive mode annotation where the AI models are constantly learning from user inputs.įor more information and guidance, please visit the Nvidia Developer Blog. Auto Segmentation along with Annotation Server in Clara Train SDK provides capabilities for single step organ segmentation. The Nvidia AI-Assisted Annotation plugin has been updated to include the brand new Auto Segmentation feature. The Nvidia AI-Assisted Annotation plugin has been updated to version v1.0.2, including the brand new DeepGrow feature of the Nvidia Clara Train Application Framework v3.0.įor more information, please visit the Nvidia Clara Train Application Framework documentation. Second update on Nvidia AI-Assisted Annotation Read the changelog for a selected short list of highlights since the last release MITK v2018.04.2.ĭownload MITK v2021.02 for Windows, Linux, or macOS. In the past two years we resolved a whopping 740 tasks to improve and extend MITK. We are happy to announce the release of MITK v2021.02 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2021.02.ĭownload MITK v2021.10 for Windows, Linux, or macOS. In the past eight months we resolved about 180 tasks to improve and extend MITK. We are happy to announce the release of MITK v2021.10 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2021.10.ĭownload MITK v2022.04 for Windows, Linux, or macOS. In the past six months we resolved about 130 tasks to improve and extend MITK. ![]() We are happy to announce the release of MITK v2022.04 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2022.04.ĭownload MITK v2022.10 for Windows, Linux, or macOS. In the past six months we resolved about 150 tasks to improve and extend MITK. ![]() We are happy to announce the release of MITK v2022.10 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2022.10.ĭownload MITK v2023.04 for Windows, Linux, or macOS. In the past six months we resolved about 140 tasks and pushed nearly 500 commits into our Git repository to improve and extend MITK. We are happy to announce the release of MITK v2023.04 ( download here). Read the changelog for a selected short list of highlights since the last release MITK v2023.04.ĭownload MITK v2023.12 for Windows, Linux, or macOS. In the past seven months we resolved about 130 tasks and pushed over 440 commits into our Git repository to improve and extend MITK. We are happy to announce the release of MITK v2023.12 ( download here). Specifies the name of the image and its version to run.Download MITK v2023.12 News MITK v2023.12 Release Location path is on the container side and not the host. Specifies the location of the compressed test assets to be imported into the container. The results of the test execution are saved to the directory Specifies the workspace location on the host computer and the container that contains the Volumes to transfer data such as test assets, logs, and execution results between the host and the You must use both the locations to map one or more shared ![]() Specifies the folder location on the host computer and the container that contains theĬompressed test assets (.zip format). The floating license for the product and VT-packs must be on the license If you are using a local license server, you must not Removes the container after the run is completed.
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