A deep learning framework for the localization of landmarks on the lateral semi circular canals
Fig 8
Four-stage landmark detection framework.
At the first stage, the full images are resized and the approximate center of landmark locations is determined. In the second stage, this center is used as the center of a window of arbitrary size for crop size optimization. The third stage uses the optimal crop window (obtained from stage 2) to train deep learning models. In the fourth and final stage, the best models selected from the previous stage are fine-tuned for robustness validation.