Deep learning for diagnostic and clinical decision support in companion animals: a systematic review of CNN- and LSTM-based approaches
- DOI
- 10.3389/fvets.2026.1952589
- Published
- 2026-10-22
- Container
- Frontiers in Veterinary Science
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fvets.2026.1952589,
title = {Deep learning for diagnostic and clinical decision support in companion animals: a systematic review of CNN- and LSTM-based approaches},
author = {Juan J. Guevara-Flores and Jhonatan López-Rojas and José A. Vásquez–Coronel},
year = {2026},
journal = {Frontiers in Veterinary Science},
doi = {10.3389/fvets.2026.1952589},
url = {https://doi.org/10.3389/fvets.2026.1952589}
}RIS
TY - JOUR TI - Deep learning for diagnostic and clinical decision support in companion animals: a systematic review of CNN- and LSTM-based approaches AU - Juan J. Guevara-Flores AU - Jhonatan López-Rojas AU - José A. Vásquez–Coronel PY - 2026 JO - Frontiers in Veterinary Science DO - 10.3389/fvets.2026.1952589 UR - https://doi.org/10.3389/fvets.2026.1952589 ER -
APA
Guevara-Flores, J. J., López-Rojas, J., & Vásquez–Coronel, J. A. (2026). Deep learning for diagnostic and clinical decision support in companion animals: a systematic review of CNN- and LSTM-based approaches. Frontiers in Veterinary Science. https://doi.org/10.3389/fvets.2026.1952589
Source records
- crossref · retrieved 2026-11-07T20:38:26.301Z