Artificial second reader to support the detection of lesions or nodules which may have been missed. It offers an automated process that identifies and marks regions of interest based on image features associated with lung nodules.
It is intended for use as a second reader after an initial interpretation of the diagnostic image has been performed.
Allows retrospective use of spectral data that was saved in a series of spectral base images (SBI).
The fast launch of LMG allows review and identification of the most relevant results to be launched into the application for further analysis.