From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation

Michael Yeung, Todd Watts, Guang Yang 0006. From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation. In Guang Yang 0006, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb, editors, Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings. Volume 13413 of Lecture Notes in Computer Science, pages 547-561, Springer, 2022. [doi]

@inproceedings{YeungWY22,
  title = {From Astronomy to Histology: Adapting the FellWalker Algorithm to Deep Nuclear Instance Segmentation},
  author = {Michael Yeung and Todd Watts and Guang Yang 0006},
  year = {2022},
  doi = {10.1007/978-3-031-12053-4_41},
  url = {https://doi.org/10.1007/978-3-031-12053-4_41},
  researchr = {https://researchr.org/publication/YeungWY22},
  cites = {0},
  citedby = {0},
  pages = {547-561},
  booktitle = {Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings},
  editor = {Guang Yang 0006 and Angelica I. Avilés-Rivero and Michael Roberts and Carola-Bibiane Schönlieb},
  volume = {13413},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-12053-4},
}