Within the scope of the CASE project Quantib, supported by QMENTA, will work on an advanced decision support system for stroke. The aim is to optimize clinical decision-making by supporting accurate diagnosis of ischemic or hemorrhagic stroke in the acute stage with the assistance of deep learning healthcare software.
The ImProVas project focuses on optimizing the use of MR brain imaging data in VCI by investigating methods for automatic quantification of biomarkers for VCI and developing prognostic methods utilizing these biomarkers.
In the setting of acute stroke, treatment selection can be optimized using important information based on CTA imaging data. The ACCURATE project aims to develop and validate methods for the automated analysis of CTA data acquired in acute stroke phase, and determine the added value of such analyses for treatment selection support.
Our current development work focuses on building an exhaustive neuro medical image analysis software suite offering a complete package of neuroradiology solutions. This includes a range of relevant biomarkers for neurovascular and neuro-oncological conditions.
Additionally, we are working on multiple products in the realm of oncology.
The feature portfolio of Quantib™ ND has recently been extended with white matter hyperintensity detection, reference centile curves for brain volumes and follow-up functionalities.
To further improve the performance of our medical image analysis software we are actively gathering and processing customer feedback. To learn more about current functionalities check out the dedicated Quantib™ ND webpage.