Learning‐based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery

PURPOSE: Stereotactic radiosurgery (SRS) is widely used to obliterate arteriovenous malformations (AVMs). Its performance relies on the accuracy of delineating the target AVM. Manual segmentation during a framed SRS procedure is time consuming and subject to inter‐ and intraobserver variation. To ad...

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Detalhes bibliográficos
Publicado no:Med Phys
Main Authors: Wang, Tonghe, Lei, Yang, Tian, Sibo, Jiang, Xiaojun, Zhou, Jun, Liu, Tian, Dresser, Sean, Curran, Walter J., Shu, Hui‐Kuo, Yang, Xiaofeng
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2019
Assuntos:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6625929/
https://ncbi.nlm.nih.gov/pubmed/31050804
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13560
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