Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades

PURPOSE: Manual delineation of organs‐at‐risk (OARs) in radiotherapy is both time‐consuming and subjective. Automated and more accurate segmentation is of the utmost importance in clinical application. The purpose of this study is to further improve the segmentation accuracy and efficiency with a no...

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Bibliographic Details
Published in:Med Phys
Main Authors: Men, Kuo, Geng, Huaizhi, Cheng, Chingyun, Zhong, Haoyu, Huang, Mi, Fan, Yong, Plastaras, John P., Lin, Alexander, Xiao, Ying
Format: Artigo
Language:Inglês
Published: John Wiley and Sons Inc. 2018
Subjects:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6322972/
https://ncbi.nlm.nih.gov/pubmed/30450825
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13296
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