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Body Part Regression for CT Images
[article]
2021
arXiv
pre-print
One of the greatest challenges in the medical imaging domain is to successfully transfer deep learning models into clinical practice. Since models are often trained on a specific body region, a robust transfer into the clinic necessitates the selection of images with body regions that fit the algorithm to avoid false-positive predictions in unknown regions. Due to the insufficient and inaccurate nature of manually-defined imaging meta-data, automated body part recognition is a key ingredient
arXiv:2110.09148v1
fatcat:liaxlqwauvaepdrmdnsa73k4xm