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Chapter and Conference Paper
Iterative Interaction Training for Segmentation Editing Networks
Automatic segmentation has great potential to facilitate morphological measurements while simultaneously increasing efficiency. Nevertheless often users want to edit the segmentation to their own needs and wil...
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Chapter and Conference Paper
Quality-Aware Memory Network for Interactive Volumetric Image Segmentation
Despite recent progress of automatic medical image segmentation techniques, fully automatic results usually fail to meet the clinical use and typically require further refinement. In this work, we propose a quali...
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Chapter and Conference Paper
High-Resolution Segmentation of Lumbar Vertebrae from Conventional Thick Slice MRI
Imaging plays a crucial role in treatment planning for lumbar spine related problems. Magnetic Resonance Imaging (MRI) in particular holds great potential for visualizing soft tissue and, to a lesser extent, t...