Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance.
- DOI
- 10.1016/j.compbiomed.2024.109242
- Published
- 2024 Dec
- Container
- Computers in biology and medicine
- Publisher
- Not recorded
- Open access
- unknown
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BibTeX
@article{allodium:10.1016/j.compbiomed.2024.109242,
title = {Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance.},
author = {Wolf D and Payer T and Lisson CS and Lisson CG and Beer M and Götz M and Ropinski T},
year = {2024},
journal = {Computers in biology and medicine},
doi = {10.1016/j.compbiomed.2024.109242},
url = {https://doi.org/10.1016/j.compbiomed.2024.109242}
}RIS
TY - JOUR TI - Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance. AU - Wolf D AU - Payer T AU - Lisson CS AU - Lisson CG AU - Beer M AU - Götz M AU - Ropinski T PY - 2024 JO - Computers in biology and medicine DO - 10.1016/j.compbiomed.2024.109242 UR - https://doi.org/10.1016/j.compbiomed.2024.109242 ER -
APA
D, W., T, P., CS, L., CG, L., M, B., M, G., & T, R. (2024). Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance.. Computers in biology and medicine. https://doi.org/10.1016/j.compbiomed.2024.109242
Source records
- pubmed · retrieved 2026-09-26T17:16:52.037Z