Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm.

Wang SH, Jiang X, Zhang YD

DOI: 10.3389/fnins.2021.737785
Published: 2021
Container: Frontiers in neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fnins.2021.737785,
  title = {Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm.},
  author = {Wang SH and Jiang X and Zhang YD},
  year = {2021},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2021.737785},
  url = {https://doi.org/10.3389/fnins.2021.737785}
}

RIS

TY  - JOUR
TI  - Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm.
AU  - Wang SH
AU  - Jiang X
AU  - Zhang YD
PY  - 2021
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2021.737785
UR  - https://doi.org/10.3389/fnins.2021.737785
ER  -

APA

SH, W., X, J., & YD, Z. (2021). Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2021.737785

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pubmed · retrieved 2026-09-25T16:51:33.827Z