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Segmentation is a fundamental problem in surgical scene analysis using artificial intelligence.
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W. Y. Hong, C. L. Kao, Y. H. Kuo, J. R. Wang, W. L. Chang, and C. S. Shih, “Cholecseg8k: A semantic segmentation dataset for laparoscopic cholecystectomy based on cholec80,” 2020
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A. Dosovitskiy, L. Beyer, A. Kolesnikov, D. Weissenborn, X. Zhai, T. Unterthiner, M. Dehghani, M. Minderer, G. Heigold, S. Gelly, J. Uszkoreit, and N. Houlsby, “An image is worth 16x16 words: Transformers for image recognition at scale,” 2021
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2023
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C. Hu, T. Xia, S. Ju, and X. Li, “When sam meets medical images: An investigation of segment anything model (sam) on multi-phase liver tumor segmentation,” 2023
2023
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2023
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