Deep learning for semi-automated unidirectional measurement of lung tumor size in CT

BACKGROUND: Performing Response Evaluation Criteria in Solid Tumor (RECISTS) measurement is a non-trivial task requiring much expertise and time. A deep learning-based algorithm has the potential to assist with rapid and consistent lesion measurement. PURPOSE: The aim of this study is to develop and...

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Detalles Bibliográficos
Autores principales: Woo, MinJae, Devane, A. Michael, Lowe, Steven C., Lowther, Ervin L, Gimbel, Ronald W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220702/
https://www.ncbi.nlm.nih.gov/pubmed/34162439
http://dx.doi.org/10.1186/s40644-021-00413-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220702/
https://www.ncbi.nlm.nih.gov/pubmed/34162439
http://dx.doi.org/10.1186/s40644-021-00413-7

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