Performance of an automated registration-based method for longitudinal lesion matching and comparison to inter-reader variability

Objective. Patients with metastatic disease are followed throughout treatment with medical imaging, and accurately assessing changes of individual lesions is critical to properly inform clinical decisions. The goal of this work was to assess the performance of an automated lesion-matching algorithm...

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Detalles Bibliográficos
Autores principales: Huff, Daniel T, Santoro-Fernandes, Victor, Chen, Song, Chen, Meijie, Kashuk, Carl, Weisman, Amy J, Jeraj, Robert, Perk, Timothy G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461173/
https://www.ncbi.nlm.nih.gov/pubmed/37567220
http://dx.doi.org/10.1088/1361-6560/acef8f

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461173/
https://www.ncbi.nlm.nih.gov/pubmed/37567220
http://dx.doi.org/10.1088/1361-6560/acef8f

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