DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of...
DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries
About this item
Full title
Author / Creator
Zou, Binfeng , Huang, Xingru , Jiang, Yitao , Jin, Kai and Sun, Yaoqi
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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More information
Scope and Contents
Contents
The incorporation of automatic segmentation methodologies into dental X-ray images refined the paradigms of clinical diagnostics and therapeutic planning by facilitating meticulous, pixel-level articulation of both dental structures and proximate tissues. This underpins the pillars of early pathological detection and meticulous disease progression...
Alternative Titles
Full title
DeMambaNet: Deformable Convolution and Mamba Integration Network for High-Precision Segmentation of Ambiguously Defined Dental Radicular Boundaries
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_05906c0e08154096b93a575a7f2586d0
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_05906c0e08154096b93a575a7f2586d0
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24144748
