A progressive deep learning framework that sequentially activates deeper network blocks during training achieves higher accuracy than standard end-to-end training for staging spheno-occipital synchondrosis maturation from CBCT images, especially at ambiguous intermediate stages.
American Journal of Physical Anthropology157(1), 42–57 (2015)
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Progressive Deep Learning for Automated Spheno-Occipital Synchondrosis Maturation Assessment
A progressive deep learning framework that sequentially activates deeper network blocks during training achieves higher accuracy than standard end-to-end training for staging spheno-occipital synchondrosis maturation from CBCT images, especially at ambiguous intermediate stages.