mlsanityData to 7 Oct 2026

When SAM Meets Medical Images: An Investigation of Segment Anything Model (SAM) on Multi-phase Liver Tumor Segmentation

arXiv 2304.08506 ↗First posted 17 Apr 2023eess.IV cs.CVcited by 52

Not on the map. Why?

Abstract (arXiv)

Learning to segmentation without large-scale samples is an inherent capability of human. Recently, Segment Anything Model (SAM) performs the significant zero-shot image segmentation, attracting considerable attention from the computer vision community. Here, we investigate the capability of SAM for medical image analysis, especially for multi-phase liver tumor segmentation (MPLiTS), in terms of prompts, data resolution, phases. Experimental results demonstrate that there might be a large gap between SAM and expected performance. Fortunately, the qualitative results show that SAM is a powerful annotation tool for the community of interactive medical image segmentation.

Key facts. Cited by 52 papers in the map (data through 7 Oct 2026). Builds on 4 of its 9 references that are in the map. First posted on arXiv 17 Apr 2023.

Builds on

4 of 9 references.

References · 4

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  2. 2023Segment Anythingcited by 8,158
  3. 2021On the Opportunities and Risks of Foundation Modelscited by 3,961
  4. 2023Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imagingcited by 161

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 23; 2024: 23; 2025: 5; 2026: 1.

52 papers.

Sort:

  1. 2023Segment Anything in Medical Imagescited by 226
  2. 2023SAM-Med2Dcited by 123
  3. 2023SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Imagescited by 101
  4. 2024Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directionscited by 97
  5. 2023MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentationcited by 82
  6. 2023SAM on Medical Images: A Comprehensive Study on Three Prompt Modescited by 81
  7. 2023A Comprehensive Survey on Segment Anything Model for Vision and Beyondcited by 64
  8. 2024Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decodingcited by 48
  9. 2023Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasetscited by 45
  10. 2023A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineeringcited by 45
  11. 2023AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentationcited by 37
  12. 2023Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentationcited by 35
38 more
  1. 2023SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptationcited by 30
  2. 2024Foundation Models for Biomedical Image Segmentation: A Surveycited by 28
  3. 2024Data-Centric Foundation Models in Computational Healthcare: A Surveycited by 27
  4. 2023Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomycited by 26
  5. 2024Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentationcited by 25
  6. 2023SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspectivecited by 24
  7. 2023Segment Anything Model (SAM) for Radiation Oncologycited by 24
  8. 2023Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Surveycited by 21
  9. 2024SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentationcited by 21
  10. 2023FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detectioncited by 19
  11. 2024MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAMcited by 17
  12. 2023Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mappingcited by 16
  13. 2024On Efficient Variants of Segment Anything Model: A Surveycited by 16
  14. 2023mathrmSAMMed: A medical image annotation framework based on large vision modelcited by 13
  15. 2024M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Imagescited by 13
  16. 2025Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptationcited by 12
  17. 2024S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentationcited by 11
  18. 2023Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectificationcited by 8
  19. 2024SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classificationcited by 6
  20. 2024RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuningcited by 6
  21. 2024Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?cited by 6
  22. 2023AdapterShadow: Adapting Segment Anything Model for Shadow Detectioncited by 5
  23. 2024SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentationcited by 5
  24. 2024Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Networkcited by 5
  25. 2023Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaulcited by 4
  26. 2024MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentationcited by 4
  27. 2024RadioActive: 3D Radiological Interactive Segmentation Benchmarkcited by 4
  28. 2023CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasetscited by 3
  29. 2024RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentationcited by 3
  30. 2024Foundation AI Model for Medical Image Segmentationcited by 2
  31. 2023BoxCell: Leveraging SAM for Cell Segmentation with Box Supervisioncited by 1
  32. 2024Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Enginecited by 1
  33. 2025MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attentioncited by 1
  34. 2025VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRAcited by 1
  35. 2024Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gaincited by 0
  36. 2024PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Imagescited by 0
  37. 2024Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domaincited by 0
  38. 2025TAGS: 3D Tumor-Adaptive Guidance for SAMcited by 0

50 most cited of 52 All 52 (JSON)