Abstract: Automating the segmentation of gliomas from multimodal MRI images is one of the most difficult challenges in neuro-oncology today as it impacts the accuracy of diagnoses, the development of ...
Abstract: The success of deep learning in 3D medical image segmentation hinges on training with a large dataset of fully annotated 3D volumes, which are difficult and time-consuming to acquire.
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