Label tree semantic losses for rich multi-class medical image segmentation
PositiveArtificial Intelligence
A recent study highlights the importance of rich and accurate medical image segmentation in enhancing AI-defined clinical practices. By improving the delineation of critical anatomy, this approach can significantly aid in pre-operative planning, real-time navigation during surgery, and precise post-operative assessments.
— Curated by the World Pulse Now AI Editorial System







