QTL mapping for seed morphology using the instance segmentation neural network in Lactuca spp

Kousuke Seki, Yosuke Toda

Open source

DOI: 10.3389/fpls.2022.949470
Published: 2022-10-13
Container: Frontiers in Plant Science
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpls.2022.949470,
  title = {QTL mapping for seed morphology using the instance segmentation neural network in Lactuca spp},
  author = {Kousuke Seki and Yosuke Toda},
  year = {2022},
  journal = {Frontiers in Plant Science},
  doi = {10.3389/fpls.2022.949470},
  url = {https://doi.org/10.3389/fpls.2022.949470}
}

RIS

TY  - JOUR
TI  - QTL mapping for seed morphology using the instance segmentation neural network in Lactuca spp
AU  - Kousuke Seki
AU  - Yosuke Toda
PY  - 2022
JO  - Frontiers in Plant Science
DO  - 10.3389/fpls.2022.949470
UR  - https://doi.org/10.3389/fpls.2022.949470
ER  -

APA

Seki, K., & Toda, Y. (2022). QTL mapping for seed morphology using the instance segmentation neural network in Lactuca spp. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2022.949470

Source records

crossref · retrieved 2026-09-27T10:12:39.821Z