Image registration is commonly required in bio-medical images analysis. To allign and to get best features. Whereas, deep learning based artitecture tries to find best features own its own.
My question is if we are dealing with bio-medical lower abdominal CT scan images using deep learning based classification, does registration is still required for training datasets? Since we use data augmentation in deep learning for more variability of training data in that case what will be the benefit of image registration? In my opinion after augmentation of images there seems to be no useful application of image registration?
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