GOAT-NET model: Glioma-Oligodendro astrocytoma tumor network model based on the optimization-based few-shot learning technique
- DOI
- 10.1016/j.expneurol.2026.116042
- Published
- 2026-09
- Container
- Experimental Neurology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.expneurol.2026.116042,
title = {GOAT-NET model: Glioma-Oligodendro astrocytoma tumor network model based on the optimization-based few-shot learning technique},
author = {Kuljeet Singh and Deepti Malhotra},
year = {2026},
journal = {Experimental Neurology},
doi = {10.1016/j.expneurol.2026.116042},
url = {https://doi.org/10.1016/j.expneurol.2026.116042}
}RIS
TY - JOUR TI - GOAT-NET model: Glioma-Oligodendro astrocytoma tumor network model based on the optimization-based few-shot learning technique AU - Kuljeet Singh AU - Deepti Malhotra PY - 2026 JO - Experimental Neurology DO - 10.1016/j.expneurol.2026.116042 UR - https://doi.org/10.1016/j.expneurol.2026.116042 ER -
APA
Singh, K., & Malhotra, D. (2026). GOAT-NET model: Glioma-Oligodendro astrocytoma tumor network model based on the optimization-based few-shot learning technique. Experimental Neurology. https://doi.org/10.1016/j.expneurol.2026.116042
Source records
- crossref · retrieved 2026-09-26T00:00:48.978Z