Randomized multi-reader evaluation of automated detection and segmentation of brain tumors in stereotactic radiosurgery with deep neural networks

BACKGROUND: Stereotactic radiosurgery (SRS), a validated treatment for brain tumors, requires accurate tumor contouring. This manual segmentation process is time-consuming and prone to substantial inter-practitioner variability. Artificial intelligence (AI) with deep neural networks have increasingl...

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Detalles Bibliográficos
Autores principales: Lu, Shao-Lun, Xiao, Fu-Ren, Cheng, Jason Chia-Hsien, Yang, Wen-Chi, Cheng, Yueh-Hung, Chang, Yu-Cheng, Lin, Jhih-Yuan, Liang, Chih-Hung, Lu, Jen-Tang, Chen, Ya-Fang, Hsu, Feng-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Clinical Investigations
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408868/
https://www.ncbi.nlm.nih.gov/pubmed/33754155
http://dx.doi.org/10.1093/neuonc/noab071

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408868/
https://www.ncbi.nlm.nih.gov/pubmed/33754155
http://dx.doi.org/10.1093/neuonc/noab071

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