Hero

What's New in This Release

Batch Processing for Settings and Variables: Streamline your workflow by applying settings and variables in batches.

Improved Node Handling: Notes can now be selected and moved along with other nodes, making workflow adjustments easier.
Enhanced Mask Operations: The “Apply Mask” node now accepts a mask input, allowing one mask to be applied over another.
Gaussian Blur Enhancements: Added settings for specifying the maximum kernel size and maximum kernel error.
Targeted Normalization: “Normalize” and “Z-Normalize” nodes now include a mask input to define the region for calculating normalization parameters.
NaN Handling: “Image Statistics” and “Image Histogram” nodes now ignore NaN values for more accurate analysis.
Decimal Precision for Rounding: The “Round” node now includes an option to specify the number of decimal places.
Merged Overlap Measures: All overlap measure nodes now allow merging of the output tables if multiple tables are generated.
Relative Path Support: Save ROIs from the visualizer using relative paths in the workflow.
Database Storage Information in Metadata: The metadata of an image now includes details about its storage location in the database, provided the image was loaded from a database.
Inject Text node improvements: Simplified syntax and better documentation
Default Installation Folder for Hero: Hero now installs to the LocalAppData\Programs folder, eliminating the need for UAC prompts or administrative rights during installation.

Extrapolation Value in Transform: The “Apply Transform” node now correctly applies the extrapolation value.
Text Injection Improvements: The “Node Inject Text” now handles backslashes (\) correctly.
Output Type Stability: Disconnecting from “Image Statistics” or “Image Histogram” will no longer alter the output type.
Excel-Compatible Table Names: Default table names now conform to the allowed characters for Excel sheet names.
Improved Path Copying: “Copy Property Path” is now disabled for the root of an object to prevent unnecessary errors.
Floating-point precision error in DVH: Could result in small negative values in the DVH on rare instances.