Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation

Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation

Background: The Response Evaluation Criteria in Solid Tumors (RECIST) aims to provide a standardized approach to assess treatment response in solid tumors. However, discrepancies in the selection of measurable and target lesions among radiologists using these criteria pose a significant limitation t...

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Bibliografski detalji
Glavni autori: Teresa M. Tareco Bucho, Liliana Petrychenko, Mohamed A. Abdelatty, Nino Bogveradze, Zuhir Bodalal, Regina G.H. Beets-Tan, Stefano Trebeschi
Format: Članak
Jezik:English
Izdano: Elsevier 2024-06-01
Serija:European Journal of Radiology Open
Teme:
RECIST
Cancer imaging
Machine learning
Variability
Reproducibility
Online pristup:http://www.sciencedirect.com/science/article/pii/S2352047724000170

Internet

http://www.sciencedirect.com/science/article/pii/S2352047724000170

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