SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification.
- DOI
- 10.1371/journal.pcbi.1014571
- Published
- 2026 Jul
- Container
- PLoS computational biology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pcbi.1014571,
title = {SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification.},
author = {Schamber P and Darbhamulla S and Boyer M and Pelletier M and Hartman H and Friedman O and Zhang S and Blais A and Oh S and Zhong H and Bygrave AM},
year = {2026},
journal = {PLoS computational biology},
doi = {10.1371/journal.pcbi.1014571},
url = {https://doi.org/10.1371/journal.pcbi.1014571}
}RIS
TY - JOUR TI - SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification. AU - Schamber P AU - Darbhamulla S AU - Boyer M AU - Pelletier M AU - Hartman H AU - Friedman O AU - Zhang S AU - Blais A AU - Oh S AU - Zhong H AU - Bygrave AM PY - 2026 JO - PLoS computational biology DO - 10.1371/journal.pcbi.1014571 UR - https://doi.org/10.1371/journal.pcbi.1014571 ER -
APA
P, S., S, D., M, B., M, P., H, H., O, F., S, Z., A, B., S, O., H, Z., & AM, B. (2026). SynAPSeg: A novel dataset and image analysis framework for deep learning-based synapse detection and quantification.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014571
Source records
- pubmed · retrieved 2026-09-25T05:42:50.703Z