Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models

Radiomics investigates the predictive role of quantitative parameters calculated from radiological images. In oncology, tumour segmentation constitutes a crucial step of the radiomic workflow. Manual segmentation is time-consuming and prone to inter-observer variability. In this study, a state-of-th...

Descripción completa

Detalles Bibliográficos
Autores principales: Ferrante, Matteo, Rinaldi, Lisa, Botta, Francesca, Hu, Xiaobin, Dolp, Andreas, Minotti, Marta, De Piano, Francesca, Funicelli, Gianluigi, Volpe, Stefania, Bellerba, Federica, De Marco, Paolo, Raimondi, Sara, Rizzo, Stefania, Shi, Kuangyu, Cremonesi, Marta, Jereczek-Fossa, Barbara A., Spaggiari, Lorenzo, De Marinis, Filippo, Orecchia, Roberto, Origgi, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784875/
https://www.ncbi.nlm.nih.gov/pubmed/36555950
http://dx.doi.org/10.3390/jcm11247334

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784875/
https://www.ncbi.nlm.nih.gov/pubmed/36555950
http://dx.doi.org/10.3390/jcm11247334

Ejemplares similares