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Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

 
dc.contributor.authorSanchez, Sebastian Amador
dc.contributor.authorZarghami, Ashkan
dc.contributor.authorvan Overschelde, Philippe
dc.contributor.authorVandemeulebroucke, Jef
dc.contributor.imecauthorSanchez, Sebastian Amador
dc.contributor.imecauthorVandemeulebroucke, Jef
dc.contributor.orcidimecVandemeulebroucke, Jef::0000-0001-5714-3254
dc.date.accessioned2025-06-09T04:20:45Z
dc.date.available2025-06-09T04:20:45Z
dc.date.issued2025
dc.description.wosFundingTextThis work was supported by the Innoviris Grant of the Brussels-Capital Region, as part of the project AugmeNTed IntelligenCe In orthopaedics TrEatments (ANTICIPATE) on Augmented Intelligence in Orthopaedics Treatments, under Grant BHF/2020-RDIR-6a.
dc.identifier.doi10.1109/ACCESS.2025.3572342
dc.identifier.issn2169-3536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45778
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage92350
dc.source.endpage92364
dc.source.journalIEEE ACCESS
dc.source.numberofpages15
dc.source.volume13
dc.title

Optimization and Benchmarking of Image Segmentation for Improved Landmark Detection in Lower Limb X-Rays and Accurate Coronal Plane Alignment of the Knee Classification

dc.typeJournal article
dspace.entity.typePublication
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