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

Authors

• Abdalla Ibrahim, Corwell Health East Resident
• Amer Hammad
• Lucy Wang
• Hao Yang
• Lawrence H Schwartz
• Binsheng Zhao

Document Type

Article

Publication Date

7-29-2026

Publication Title

Cancers (Basel)

Volume

18

Issue

15

Recommended Citation

Ibrahim A, Hammad A, Wang L, Yang H, Schwartz LH, Zhao B. deep learning quality control for recist-oriented assessment: a vision transformer predicts inter-reader variability of unidimensional lesion measurements on contrast ct. Cancers (Basel). 2026 Jul 29;18(15):2438. doi: 10.3390/cancers18152438. PMID: 42588656

DOI

10.3390/cancers18152438

ISSN

2072-6694

PubMed ID

42588656