Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning
- DOI
- 10.1038/s41598-026-57812-8
- Published
- 2026-06-24
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-57812-8,
title = {Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning},
author = {Ronrick Da-Ano and Olena Tankyevych and François Lucia and Bernard Duysinx and François Lallemand and Roland Hustinx and Pierre Lovinfosse and Catherine Cheze Le Rest and Dimitris Visvikis},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-57812-8},
url = {https://doi.org/10.1038/s41598-026-57812-8}
}RIS
TY - JOUR TI - Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning AU - Ronrick Da-Ano AU - Olena Tankyevych AU - François Lucia AU - Bernard Duysinx AU - François Lallemand AU - Roland Hustinx AU - Pierre Lovinfosse AU - Catherine Cheze Le Rest AU - Dimitris Visvikis PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-57812-8 UR - https://doi.org/10.1038/s41598-026-57812-8 ER -
APA
Da-Ano, R., Tankyevych, O., Lucia, F., Duysinx, B., Lallemand, F., Hustinx, R., Lovinfosse, P., Rest, C. C. L., & Visvikis, D. (2026). Multimodal PET/CT-based PD-L1 status prediction in lung cancer via semi-supervised and unsupervised deep learning. Scientific Reports. https://doi.org/10.1038/s41598-026-57812-8
Source records
- crossref · retrieved 2026-09-26T12:59:20.394Z