An integrated deep learning and Bayesian computational method-based quantification of angiogenesis in the chick embryo model.
- DOI
- 10.1039/d6ay00983b
- Published
- 2026 Aug 27
- Container
- Analytical methods : advancing methods and applications
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1039/d6ay00983b,
title = {An integrated deep learning and Bayesian computational method-based quantification of angiogenesis in the chick embryo model.},
author = {Singh G and Paik P},
year = {2026},
journal = {Analytical methods : advancing methods and applications},
doi = {10.1039/d6ay00983b},
url = {https://doi.org/10.1039/d6ay00983b}
}RIS
TY - JOUR TI - An integrated deep learning and Bayesian computational method-based quantification of angiogenesis in the chick embryo model. AU - Singh G AU - Paik P PY - 2026 JO - Analytical methods : advancing methods and applications DO - 10.1039/d6ay00983b UR - https://doi.org/10.1039/d6ay00983b ER -
APA
G, S., & P, P. (2026). An integrated deep learning and Bayesian computational method-based quantification of angiogenesis in the chick embryo model.. Analytical methods : advancing methods and applications. https://doi.org/10.1039/d6ay00983b
Source records
- pubmed · retrieved 2026-09-25T00:10:18.932Z