A fine-tuned foundational model SurgiSAM2 for surgical video anatomy segmentation and detection.
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| Title: | A fine-tuned foundational model SurgiSAM2 for surgical video anatomy segmentation and detection. |
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| Authors: | Kamtam DN; Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA. devanish@stanford.edu., Shrager JB; Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA.; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA., Malla SD; Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA., Wang X; Department of Computer Science, Stanford University, Stanford, CA, USA., Lin N; Division of Thoracic Surgery, Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA., Cardona JJ; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA., Yeung-Levy S; Department of Biomedical Data Science, Stanford University, Stanford, CA, USA.; Department of Computer Science, Stanford University, Stanford, CA, USA., Hu C; Hotpot.ai, Palo Alto, CA, USA. |
| Source: | Scientific reports [Sci Rep] 2025 Oct 15; Vol. 15 (1), pp. 35961. Date of Electronic Publication: 2025 Oct 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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