Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery

Kwankamon Dittakan, Frans Coenen. Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery. In Richard Booth, Min-Ling Zhang, editors, PRICAI 2016: Trends in Artificial Intelligence - 14th Pacific Rim International Conference on Artificial Intelligence, Phuket, Thailand, August 22-26, 2016, Proceedings. Volume 9810 of Lecture Notes in Computer Science, pages 93-105, Springer, 2016. [doi]

@inproceedings{DittakanC16,
  title = {Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery},
  author = {Kwankamon Dittakan and Frans Coenen},
  year = {2016},
  doi = {10.1007/978-3-319-42911-3_8},
  url = {http://dx.doi.org/10.1007/978-3-319-42911-3_8},
  researchr = {https://researchr.org/publication/DittakanC16},
  cites = {0},
  citedby = {0},
  pages = {93-105},
  booktitle = {PRICAI 2016: Trends in Artificial Intelligence - 14th Pacific Rim International Conference on Artificial Intelligence, Phuket, Thailand, August 22-26, 2016, Proceedings},
  editor = {Richard Booth and Min-Ling Zhang},
  volume = {9810},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-42910-6},
}