Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology

Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura. Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. In Maria del C. Valdés Hernández, Víctor González-Castro, editors, Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings. Volume 723 of Communications in Computer and Information Science, pages 482-493, Springer, 2017. [doi]

@inproceedings{RachmadiHAK17,
  title = {Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology},
  author = {Muhammad Febrian Rachmadi and Maria del C. Valdés Hernández and Maria Leonora Fatimah Agan and Taku Komura},
  year = {2017},
  doi = {10.1007/978-3-319-60964-5_42},
  url = {https://doi.org/10.1007/978-3-319-60964-5_42},
  researchr = {https://researchr.org/publication/RachmadiHAK17},
  cites = {0},
  citedby = {0},
  pages = {482-493},
  booktitle = {Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings},
  editor = {Maria del C. Valdés Hernández and Víctor González-Castro},
  volume = {723},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-60964-5},
}