A machine learning based approach to the segmentation of micro CT data in archaeological and evolutionary sciences
T. O'Mahoney, L. McKnight, T. Lowe, M. Mednikova, J. Dunn
This paper applies Trainable Weka Segmentation to archaeological and evolutionary science datasets, showing it is fast and effective for micro CT data segmentation.
bioRxiv · Aug 12, 2020 · PreprintEvolutionary Biology