Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology

@article{Fatakdawala2009ExpectationMaximizationDrivenG,
  title={Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology},
  author={Hussain Fatakdawala and Ajay Basavanhally and Jun Xu and Gyan Bhanot and Shridar Ganesan and Michael D. Feldman and John E. Tomaszeweski and Anant Madabhushi},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2009},
  volume={57},
  pages={1676-1689}
}
The presence of lymphocytic infiltration (LI) has been correlated with nodal metastasis and tumor recurrence in HER2+ breast cancer (BC). The ability to automatically detect and quantify extent of LI on histopathology imagery could potentially result in the development of an image based prognostic tool for human epidermal growth factor receptor-2 (HER2+) BC patients. Lymphocyte segmentation in hematoxylin and eosin (H&E) stained BC histopathology images is complicated by the similarity in… CONTINUE READING

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Expectation maximization driven geodesic active contour with overlap resolution (emagacor): Application to lymphocyte segmentation on breast cancer histopathology

  • H. Fatakdawala, A. Basavanhally, +5 authors A. Madabhushi
  • Proc. IEEE Int. Symp. Bioinf. Bioeng., 2009, pp…
  • 2009
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