<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>15012</volume><submitter>Shen Y</submitter><journal>Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention</journal><pagination>542-552</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12377522</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images</pubmed_title><pmcid>PMC12377522</pmcid><pubmed_authors>Shao X</pubmed_authors><pubmed_authors>Li J</pubmed_authors><pubmed_authors>Unberath M</pubmed_authors><pubmed_authors>Jindal A</pubmed_authors><pubmed_authors>Shen Y</pubmed_authors><pubmed_authors>Romillo B</pubmed_authors><pubmed_authors>Dreizin D</pubmed_authors></additional><is_claimable>false</is_claimable><name>FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images</name><description/><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2026-05-09T19:11:09.741Z</modification><creation>2026-04-08T01:09:42.624Z</creation></dates><accession>S-EPMC12377522</accession><cross_references/></HashMap>