Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics

Salim Lahmiri, Mounir Boukadoum. Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics. In IEEE 6th Latin American Symposium on Circuits & Systems, LASCAS 2015, Montevideo, Uruguay, February 24-27, 2015. pages 1-4, IEEE, 2015. [doi]

@inproceedings{LahmiriB15-0,
  title = {Pathology grading in retina digital images using student-adjusted empirical mode decomposition and power law statistics},
  author = {Salim Lahmiri and Mounir Boukadoum},
  year = {2015},
  doi = {10.1109/LASCAS.2015.7250437},
  url = {http://dx.doi.org/10.1109/LASCAS.2015.7250437},
  researchr = {https://researchr.org/publication/LahmiriB15-0},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {IEEE 6th Latin American Symposium on Circuits & Systems, LASCAS 2015, Montevideo, Uruguay, February 24-27, 2015},
  publisher = {IEEE},
  isbn = {978-1-4799-8332-2},
}