Segment Anything Model (SAM)
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Fine-grained multiclass nuclei segmentation with molecular empowered all-in-SAM model
Li, Xueyuan., Cui, Can., Deng, Ruining., Tang, Yucheng., Liu, Quan., Yao, Tianyuan., Bao, Shunxing., Chowdhury, Naweed Iffat., Yang, Haichun., & Huo, Yuankai. (2025). Fine-grained multiclass nuclei segmentation with molecular empowered all-in-SAM model. Journal of Medical Imaging, 12(5), 57501. https://doi.org/10.1117/1.JMI.12.5.057501 Recent advances in computational pathology—the use of computers to… Read MoreNov. 23, 2025
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Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Deng, Ruining; Cui, Can; Liu, Quan; Yao, Tianyuan; Remedios, Lucas W.; Bao, Shunxing; Landman, Bennett A.; Wheless, Lee E.; Coburn, Lori A.; Wilson, Keith T.; Wang, Yaohong; Zhao, Shilin; Fogo, Agnes B.; Yang, Haichun; Tang, Yucheng; Huo, Yuankai. “Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot… Read MoreApr. 23, 2025