Development and validation of a self-attention network-based algorithm to detect mediastinal lesions on computed tomography images.
- DOI
- 10.21037/jtd-24-679
- Published
- 2024 May 31
- Container
- Journal of thoracic disease
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.21037/jtd-24-679,
title = {Development and validation of a self-attention network-based algorithm to detect mediastinal lesions on computed tomography images.},
author = {Wu S and Liu S and Zhong M and de Loos ER and Hartert M and Fuentes-Martín Á and Lenzini A and Wang D and Qian Q},
year = {2024},
journal = {Journal of thoracic disease},
doi = {10.21037/jtd-24-679},
url = {https://doi.org/10.21037/jtd-24-679}
}RIS
TY - JOUR TI - Development and validation of a self-attention network-based algorithm to detect mediastinal lesions on computed tomography images. AU - Wu S AU - Liu S AU - Zhong M AU - de Loos ER AU - Hartert M AU - Fuentes-Martín Á AU - Lenzini A AU - Wang D AU - Qian Q PY - 2024 JO - Journal of thoracic disease DO - 10.21037/jtd-24-679 UR - https://doi.org/10.21037/jtd-24-679 ER -
APA
S, W., S, L., M, Z., ER, D. L., M, H., Á, F., A, L., D, W., & Q, Q. (2024). Development and validation of a self-attention network-based algorithm to detect mediastinal lesions on computed tomography images.. Journal of thoracic disease. https://doi.org/10.21037/jtd-24-679
Source records
- pubmed · retrieved 2026-09-27T10:43:43.161Z