Automated detection and segmentation of non-small cell lung cancer computed tomography images

Detection and segmentation of abnormalities on medical images is highly important for patient management including diagnosis, radiotherapy, response evaluation, as well as for quantitative image research. We present a fully automated pipeline for the detection and volumetric segmentation of non-smal...

Descripción completa

Detalles Bibliográficos
Autores principales: Primakov, Sergey P., Ibrahim, Abdalla, van Timmeren, Janita E., Wu, Guangyao, Keek, Simon A., Beuque, Manon, Granzier, Renée W. Y., Lavrova, Elizaveta, Scrivener, Madeleine, Sanduleanu, Sebastian, Kayan, Esma, Halilaj, Iva, Lenaers, Anouk, Wu, Jianlin, Monshouwer, René, Geets, Xavier, Gietema, Hester A., Hendriks, Lizza E. L., Morin, Olivier, Jochems, Arthur, Woodruff, Henry C., Lambin, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198097/
https://www.ncbi.nlm.nih.gov/pubmed/35701415
http://dx.doi.org/10.1038/s41467-022-30841-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198097/
https://www.ncbi.nlm.nih.gov/pubmed/35701415
http://dx.doi.org/10.1038/s41467-022-30841-3

Ejemplares similares