A hybrid feature selection-based brain tumor detection and segmentation in multiparametric magnetic resonance imaging.

Chen H, Ban D, Qi XS, Pan X, Qiang Y, Yang Q

DOI: 10.1002/mp.15035
Published: 2021 Nov
Container: Medical physics
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/mp.15035,
  title = {A hybrid feature selection-based brain tumor detection and segmentation in multiparametric magnetic resonance imaging.},
  author = {Chen H and Ban D and Qi XS and Pan X and Qiang Y and Yang Q},
  year = {2021},
  journal = {Medical physics},
  doi = {10.1002/mp.15035},
  url = {https://doi.org/10.1002/mp.15035}
}

RIS

TY  - JOUR
TI  - A hybrid feature selection-based brain tumor detection and segmentation in multiparametric magnetic resonance imaging.
AU  - Chen H
AU  - Ban D
AU  - Qi XS
AU  - Pan X
AU  - Qiang Y
AU  - Yang Q
PY  - 2021
JO  - Medical physics
DO  - 10.1002/mp.15035
UR  - https://doi.org/10.1002/mp.15035
ER  -

APA

H, C., D, B., XS, Q., X, P., Y, Q., & Q, Y. (2021). A hybrid feature selection-based brain tumor detection and segmentation in multiparametric magnetic resonance imaging.. Medical physics. https://doi.org/10.1002/mp.15035

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pubmed · retrieved 2026-09-25T01:33:39.053Z