Deep Learning Quality Control for RECIST-Oriented Assessment: A Vision Transformer Predicts Inter-Reader Variability of Unidimensional Lesion Measurements on Contrast CT
- DOI
- 10.3390/cancers18152438
- Published
- 2026-07-29
- Container
- Cancers
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/cancers18152438,
title = {Deep Learning Quality Control for RECIST-Oriented Assessment: A Vision Transformer Predicts Inter-Reader Variability of Unidimensional Lesion Measurements on Contrast CT},
author = {Abdalla Ibrahim and Amer Hammad and Lucy Wang and Hao Yang and Lawrence H. Schwartz and Binsheng Zhao},
year = {2026},
journal = {Cancers},
doi = {10.3390/cancers18152438},
url = {https://doi.org/10.3390/cancers18152438}
}RIS
TY - JOUR TI - Deep Learning Quality Control for RECIST-Oriented Assessment: A Vision Transformer Predicts Inter-Reader Variability of Unidimensional Lesion Measurements on Contrast CT AU - Abdalla Ibrahim AU - Amer Hammad AU - Lucy Wang AU - Hao Yang AU - Lawrence H. Schwartz AU - Binsheng Zhao PY - 2026 JO - Cancers DO - 10.3390/cancers18152438 UR - https://doi.org/10.3390/cancers18152438 ER -
APA
Ibrahim, A., Hammad, A., Wang, L., Yang, H., Schwartz, L. H., & Zhao, B. (2026). Deep Learning Quality Control for RECIST-Oriented Assessment: A Vision Transformer Predicts Inter-Reader Variability of Unidimensional Lesion Measurements on Contrast CT. Cancers. https://doi.org/10.3390/cancers18152438
Source records
- crossref · retrieved 2026-09-25T02:43:14.312Z