Automatic multiorgan segmentation in thorax CT images using U‐net‐GAN

PURPOSE: Accurate and timely organs‐at‐risk (OARs) segmentation is key to efficient and high‐quality radiation therapy planning. The purpose of this work is to develop a deep learning‐based method to automatically segment multiple thoracic OARs on chest computed tomography (CT) for radiotherapy trea...

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Bibliografiset tiedot
Julkaisussa:Med Phys
Päätekijät: Dong, Xue, Lei, Yang, Wang, Tonghe, Thomas, Matthew, Tang, Leonardo, Curran, Walter J., Liu, Tian, Yang, Xiaofeng
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: John Wiley and Sons Inc. 2019
Aiheet:
QUANTITATIVE IMAGING AND IMAGE PROCESSING
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6510589/
https://ncbi.nlm.nih.gov/pubmed/30810231
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13458
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