Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods

Ágnes Gyorfi, Levente Kovács, László Szilágyi. Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. In Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings. Volume 11896 of Lecture Notes in Computer Science, pages 326-335, Springer, 2019. [doi]

@inproceedings{GyorfiKS19-0,
  title = {Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods},
  author = {Ágnes Gyorfi and Levente Kovács and László Szilágyi},
  year = {2019},
  doi = {10.1007/978-3-030-33904-3_30},
  url = {https://doi.org/10.1007/978-3-030-33904-3_30},
  researchr = {https://researchr.org/publication/GyorfiKS19-0},
  cites = {0},
  citedby = {0},
  pages = {326-335},
  booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings},
  editor = {Ingela Nyström and Yanio Hernández Heredia and Vladimir Milián Núñez},
  volume = {11896},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-33904-3},
}