Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images

Navdeep Kumar, Alessio Carletti, Paulo J. Gavaia, Marc Muller, M. Leonor Cancela, Pierre Geurts, Raphaël Marée. Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images. In Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Constantinos S. Pattichis, Mario Vento, editors, Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I. Volume 13052 of Lecture Notes in Computer Science, pages 154-164, Springer, 2021. [doi]

@inproceedings{KumarCGMCGM21,
  title = {Deep Learning Approaches for Head and Operculum Segmentation in Zebrafish Microscopy Images},
  author = {Navdeep Kumar and Alessio Carletti and Paulo J. Gavaia and Marc Muller and M. Leonor Cancela and Pierre Geurts and Raphaël Marée},
  year = {2021},
  doi = {10.1007/978-3-030-89128-2_15},
  url = {https://doi.org/10.1007/978-3-030-89128-2_15},
  researchr = {https://researchr.org/publication/KumarCGMCGM21},
  cites = {0},
  citedby = {0},
  pages = {154-164},
  booktitle = {Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part I},
  editor = {Nicolas Tsapatsoulis and Andreas Panayides and Theo Theocharides and Andreas Lanitis and Constantinos S. Pattichis and Mario Vento},
  volume = {13052},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-89128-2},
}