Currently, data need to be preprocessed in order to run the model. This preprocessing includes cord segmentation, bounding box creation, etc.
This adds complications for the end-user. Ideally, the preprocessing would be incorporated in the inference script, the same way it is done for the tumor segmentation or sct_segment_lesion.
One possibility would be to train another model for finding the bounding box, and then create a cascaded workflow of CNNs.
Currently, data need to be preprocessed in order to run the model. This preprocessing includes cord segmentation, bounding box creation, etc.
This adds complications for the end-user. Ideally, the preprocessing would be incorporated in the inference script, the same way it is done for the tumor segmentation or
sct_segment_lesion.One possibility would be to train another model for finding the bounding box, and then create a cascaded workflow of CNNs.