Semi-automated Robust Quantification of Lesions (SRQL) Toolbox

Kaori L Ito, Julia Anglin, Hosung Kim, Sook-Lei Liew

Open source

DOI: 10.3897/rio.3.e13395
Published: 05
Container: Research Ideas and Outcomes
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3897/rio.3.e13395,
  title = {Semi-automated Robust Quantification of Lesions (SRQL) Toolbox},
  author = {Kaori L Ito and Julia Anglin and Hosung Kim and Sook-Lei Liew},
  year = {2017},
  journal = {Research Ideas and Outcomes},
  doi = {10.3897/rio.3.e13395},
  url = {https://doi.org/10.3897/rio.3.e13395}
}

RIS

TY  - JOUR
TI  - Semi-automated Robust Quantification of Lesions (SRQL) Toolbox
AU  - Kaori L Ito
AU  - Julia Anglin
AU  - Hosung Kim
AU  - Sook-Lei Liew
PY  - 2017
JO  - Research Ideas and Outcomes
DO  - 10.3897/rio.3.e13395
UR  - https://doi.org/10.3897/rio.3.e13395
ER  -

APA

Ito, K. L., Anglin, J., Kim, H., & Liew, S. (2017). Semi-automated Robust Quantification of Lesions (SRQL) Toolbox. Research Ideas and Outcomes. https://doi.org/10.3897/rio.3.e13395

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doaj · retrieved 2026-11-10T18:07:59.220Z