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Deep negative volume segmentation
2021
Scientific Reports
AbstractClinical examination of three-dimensional image data of compound anatomical objects, such as complex joints, remains a tedious process, demanding the time and the expertise of physicians. For instance, automation of the segmentation task of the TMJ (temporomandibular joint) has been hindered by its compound three-dimensional shape, multiple overlaid textures, an abundance of surrounding irregularities in the skull, and a virtually omnidirectional range of the jaw's motion—all of which
doi:10.1038/s41598-021-95526-1
pmid:34381093
pmcid:PMC8357924
fatcat:t7bkwvkaovbljcz62fn3yaysdu