CGMD: Centrality-Guided Maximum Diversity for Annotation-Efficient Fine-Tuning of Pretrained Cell Segmentation Models - researchr publication authors

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Eiram Mahera Sheikh, Alaa Tharwat, Constanze Schwan, Wolfram Schenck. CGMD: Centrality-Guided Maximum Diversity for Annotation-Efficient Fine-Tuning of Pretrained Cell Segmentation Models. In 23rd IEEE International Symposium on Biomedical Imaging, ISBI 2026, London, United Kingdom, April 8-11, 2026. pages 1-5, IEEE, 2026. [doi]

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