New publication on inferior alveolar canal segmentation in CBCT images

We are pleased to share another contribution from researchers at the Sano Centre for Computational Medicine to the development of methods at the intersection of artificial intelligence and medical imaging.

Tomasz Szczepański, Michał Grzeszczyk, and Przemysław Korzeniowski are co-authors of the paper “Segmenting the Inferior Alveolar Canal in CBCT Volumes: The ToothFairy Challenge”.
This work is part of a broader trend towards precise, data-driven tools that support dental and craniofacial diagnostics. By leveraging machine learning methods, it enables more effective processing of complex 3D imaging data, helping clinicians in their diagnostic decision-making.