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Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions
PaperCitations, authors & open-access status
Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5D solutions is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 144 citations, 2022 year and closed oa status.
144
Citations
2022
Year
closed
OA Status