MR has been widely used for the diagnosis of hepatic hemangioma and cyst due to its significance of detection on small lesions. This study proposes a deep learning based method to detect the lesion volume in a three-dimensional manner on the dynamic contrast-enhanced MR images with hemangioma and/or cyst lesions. The results show good alignment of automated detection contour with the manually labelled lesion contour by professional radiologists, as well as accurate classification of lesion types.
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