Our product
Image analysis made easy
Effortless, robust, adaptable, and no-code. Hero lets you seamlessly build image processing pipelines by combining predefined operations in an intuitive visual programming interface — simply drag and drop data, algorithms, and tools to export results
Platform highlights
Build a workflow
Designing a workflow is trivially easy and extremely fast using drag-and-drop, with hundreds of nodes available at your fingertips. Data types such as images, binary masks, or tables are color coded to give a better overview and reduce the risk for errors. The workflow can be executed at any time in the design process, and the result of each step is saved in the node itself for easy inspection.
Create plugin nodes
Plugin nodes can easily be created using Python, with full debugging support in external IDEs. Focus only on the task you want to solve and leave image import, pre-processing, post-processing, and visualization to Hero. Plugins can be inserted anywhere in the pipeline and shared between collaborators.
Visualization
The image visualizer in Hero provides state-of-the-art visualization of medical image data, with up to six simultaneous viewports. Each viewport can show either 2D image projections or a 3D rendering, and viewport coordinate systems can be synchronized between viewports. The visualizer also provides tools for defining regions of interest that can be used in the pipeline or saved for later analysis.
Batch processing
Streamline the analysis of large datasets by applying a workflow to multiple inputs. Batch processing results can be automatically aggregated to quickly generate insights and identify patterns across the entire dataset, reducing the time and effort required for data analysis.
Extract results
A broad range of export options is available in Hero. We support common image formats for import and export, plus DICOM nodes for clinical research integration. Numerical values can be written to CSV or XLSX files or to reports in PDF format. Images can also be exported to common formats for presentation and publication, including animated GIF files and STL for 3D printing.
SPAARC Radiomics
SPAARC lets you extract a large number of quantitative features from your medical images. It is deployed as an add-on to Hero in collaboration with Cardiff University and certified via IBSI to ensure standardized feature extraction for all 165 texture features and available convolutional filters. Read more at theibsi.github.io and spaarc-radiomics.io.