ENSAM: An Efficient Foundation Model for Interactive Segmentation of 3D Medical Images

Lecture notes in computer science 2026 Open access

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Authors: Elias Stenhede, Agnar Martin Bjørnstad, Arian Ranjbar
DOI: 10.1007/978-3-032-23496-4_2
Cited by: 0

Fields of Study & Subjects

Medical Image Segmentation Techniques Medical Imaging and Analysis

Publication details

Journal / source
Lecture notes in computer science
Pages
14–35
Publication date
1 January 2026
Language
EN