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Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks

PURPOSE: Accurate segmentation of organs‐at‐risks (OARs) is the key step for efficient planning of radiation therapy for head and neck (HaN) cancer treatment. In the work, we proposed the first deep learning‐based algorithm, for segmentation of OARs in HaN CT images, and compared its performance aga...

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Detaylı Bibliyografya
Yayımlandı:Med Phys
Asıl Yazarlar: Ibragimov, Bulat, Xing, Lei
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: John Wiley and Sons Inc. 2017
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC5383420/
https://ncbi.nlm.nih.gov/pubmed/28205307
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.12045
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