A deep learning-based software for the analysis of head and neck images
Diagnosis | Neurology
DeepVessel Cerebright will use deep learning to perform a comprehensive assessment of intracranial and cervical blood vessels based on CTA scans of the head and neck. It will automatically remove osteoid images and quickly segment the images of the blood vessels in the skull and neck, as well as automatically label the segmented coronary images and code them in different colors to support physicians in accurately identifying vascular variations and locating lesions.
The software would provide a different perspective for viewing, such as 3D volume rendering, maximal intensity projection, curved planar reconstruction, straightened planar reformation, and coronary probe to enable physicians to comprehensively observe 3D vascular structures.
A variety of analysis modules may be integrated into DeepVessel Cerebright, including:
- Plaque detection and segmentation
- Aneurysm detection and segmentation
- LVO detection and localization
- Willis Ring anomaly analysis
- Origin anomaly warning
The description above contain forward-looking statements intended for investors. DeepVessel Cerebright is in development and has not been reviewed by regulatory agencies. This product is not for sale.