Evaluation of auto-segmentation accuracy of cloud-based artificial intelligence and atlas-based models

BACKGROUND: Contour delineation, a crucial process in radiation oncology, is time-consuming and inaccurate due to inter-observer variation has been a critical issue in this process. An atlas-based automatic segmentation was developed to improve the delineation efficiency and reduce inter-observer va...

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Detalles Bibliográficos
Autores principales: Urago, Yuka, Okamoto, Hiroyuki, Kaneda, Tomoya, Murakami, Naoya, Kashihara, Tairo, Takemori, Mihiro, Nakayama, Hiroki, Iijima, Kotaro, Chiba, Takahito, Kuwahara, Junichi, Katsuta, Shouichi, Nakamura, Satoshi, Chang, Weishan, Saitoh, Hidetoshi, Igaki, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427857/
https://www.ncbi.nlm.nih.gov/pubmed/34503533
http://dx.doi.org/10.1186/s13014-021-01896-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8427857/
https://www.ncbi.nlm.nih.gov/pubmed/34503533
http://dx.doi.org/10.1186/s13014-021-01896-1

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