Evaluating the impact of segmentation strategies on radiomic feature stability for paediatric brain tumour diagnosis using diffusion weighted imaging

Timothy Mulvany, Daniel Griffiths-King, Lara Worthington, Katherine Crombie, Heather E. L. Rose, Andrew Peet, John Apps, Jan Novak

Open source

DOI: 10.1371/journal.pone.0356382
Published: 2026-08-18
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0356382,
  title = {Evaluating the impact of segmentation strategies on radiomic feature stability for paediatric brain tumour diagnosis using diffusion weighted imaging},
  author = {Timothy Mulvany and Daniel Griffiths-King and Lara Worthington and Katherine Crombie and Heather E. L. Rose and Andrew Peet and John Apps and Jan Novak},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0356382},
  url = {https://doi.org/10.1371/journal.pone.0356382}
}

RIS

TY  - JOUR
TI  - Evaluating the impact of segmentation strategies on radiomic feature stability for paediatric brain tumour diagnosis using diffusion weighted imaging
AU  - Timothy Mulvany
AU  - Daniel Griffiths-King
AU  - Lara Worthington
AU  - Katherine Crombie
AU  - Heather E. L. Rose
AU  - Andrew Peet
AU  - John Apps
AU  - Jan Novak
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0356382
UR  - https://doi.org/10.1371/journal.pone.0356382
ER  -

APA

Mulvany, T., Griffiths-King, D., Worthington, L., Crombie, K., Rose, H. E. L., Peet, A., Apps, J., & Novak, J. (2026). Evaluating the impact of segmentation strategies on radiomic feature stability for paediatric brain tumour diagnosis using diffusion weighted imaging. PLOS One. https://doi.org/10.1371/journal.pone.0356382

Source records

crossref · retrieved 2026-09-27T02:12:49.476Z