mlsanityData to 14 Oct 2026

Segment Anything Model for Brain Tumor Segmentation

arXiv 2309.08434 ↗First posted 15 Sep 2023eess.IV cs.CVcited by 4

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Abstract (arXiv)

Glioma is a prevalent brain tumor that poses a significant health risk to individuals. Accurate segmentation of brain tumor is essential for clinical diagnosis and treatment. The Segment Anything Model(SAM), released by Meta AI, is a fundamental model in image segmentation and has excellent zero-sample generalization capabilities. Thus, it is interesting to apply SAM to the task of brain tumor segmentation. In this study, we evaluated the performance of SAM on brain tumor segmentation and found that without any model fine-tuning, there is still a gap between SAM and the current state-of-the-art(SOTA) model.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 9 of its 20 references that are in the map. First posted on arXiv 15 Sep 2023.

Builds on

9 of 20 references.

References · 9

  1. 2017Attention Is All You Needcited by 60,361
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
  4. 2023Segment Anythingcited by 8,234
  5. 2018Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challengecited by 511
  6. 2015Brain Tumor Segmentation with Deep Neural Networkscited by 137
  7. 2022mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentationcited by 95
  8. 2021INTERN: A New Learning Paradigm Towards General Visioncited by 33
  9. 2023SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAMcited by 31

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 2; 2025: 1.

4 papers.

  1. 2024Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directionscited by 97
  2. 2023A Systematic Review of Deep Learning-based Research on Radiology Report Generationcited by 14
  3. 2025Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Modelscited by 1
  4. 2024Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resectioncited by 0