Automatic Segmentation with Deep Learning in Radiotherapy

SIMPLE SUMMARY: Automatic segmentation of organs and other regions of interest is a promising approach for reducing the workload of doctors in radiotherapeutic planning, but it can be hard for doctors and researchers to keep up with current developments. This review evaluates 807 papers and reveals...

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Detalles Bibliográficos
Autores principales: Isaksson, Lars Johannes, Summers, Paul, Mastroleo, Federico, Marvaso, Giulia, Corrao, Giulia, Vincini, Maria Giulia, Zaffaroni, Mattia, Ceci, Francesco, Petralia, Giuseppe, Orecchia, Roberto, Jereczek-Fossa, Barbara Alicja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486603/
https://www.ncbi.nlm.nih.gov/pubmed/37686665
http://dx.doi.org/10.3390/cancers15174389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486603/
https://www.ncbi.nlm.nih.gov/pubmed/37686665
http://dx.doi.org/10.3390/cancers15174389

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