Deep Learning Quality Control for RECIST-Oriented Assessment: A Vision Transformer Predicts Inter-Reader Variability of Unidimensional Lesion Measurements on Contrast CT

Abdalla Ibrahim, Amer Hammad, Lucy Wang, Hao Yang, Lawrence H. Schwartz, Binsheng Zhao

Open source

DOI
10.3390/cancers18152438
Published
2026-07-29
Container
Cancers
Publisher
MDPI AG
Open access
unknown

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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

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