Deep learning models to map osteocyte networks from confocal microscopy can successfully distinguish between young and aged bone
Fig 2
Connectomics used as training strategy for deep learning models.
(A) Annotated labels in an image, and (B) the corresponding connectomics map. After training, model is tested to produce a (C) prediction and (D) corresponding connectomics map, which can be compared to the annotated map to assess accuracy. Red squares in the prediction highlight instances of disconnected dendrite segments, while the blue square indicates a misclassification where a dendrite has been erroneously labeled as an osteocyte. Scale bar = 10 µm and applies to all panels.