Medical iOS application XAnnotation

trainingimportcloud

DICOM Images Presentation: Preserve original information for images and offer Window Level (WL) features simultaneously. DICOM Communication: Import images from other PACS nodes directly or query/retrieve images. Customized tags/labels: Customize multiple tags/labels according to users’ needs and annotate medical images with different colors. Multiple annotation tools: Not only support Bonding Box, polygons, ovals/ellipses, or Freehand annotation tools, but also preset/adjust width/length for annotation results. Cloud Import: Provide another approach to sharing images; users can import image data from Google Drive to the XAnnotation App. Annotation Results Synchronization: Synchronize annotation results and tags to the XAnnotation App from another iPads. One-button Export: Export the circled results with JSON files and PNG formats automatically for the AI training model/data. Description: Before AI training, collecting data was a troublesome issue. Thus, XAnnotation App has been developed on iPad to make it become an easy-to-use labeling tool. The software provides the self-defined tags and other labeling functions. Users can use fingers or the Apple Pencil to mark and complete the labeling tasks easily and intuitively. Data preparation for AI training models can be time-consuming. To reinforce efficiency and user experience, the medical image annotation app has made an iPad become a convenient annotation tool through providing customized labels/tags and multiple annotation features; thus, users can annotate intuitively with an Apple Pencil or fingertip and export the results automatically via one click.