Improving generalization in MR‐to‐CT synthesis in radiotherapy by using an augmented cycle generative adversarial network with unpaired data

Author:

Brou Boni Kévin N. D.12ORCID,Klein John2,Gulyban Akos3,Reynaert Nick13,Pasquier David24

Affiliation:

1. Department of Medical Physics Centre Oscar Lambret Lille France

2. Univ. LilleCNRSCentrale Lille, UMR 9189 CRIStAL LilleF‐59000France

3. Department of Medical Physics Institut Jules Bordet Brussels Belgium

4. Department of Radiotherapy Centre Oscar Lambret Lille France

Publisher

Wiley

Subject

General Medicine

Reference19 articles.

1. Tumor delineation: The weakest link in the search for accuracy in radiotherapy

2. Counterpoint: Opportunities and Challenges of a Magnetic Resonance Imaging–Only Radiotherapy Work Flow

3. MaoX LiQ XieH LauRYK WangZ SmolleySP.Least Adversarial Squares Generative Networks;2016.http://arxiv.org/abs/1611.04076.

4. GoodfellowIJ Pouget‐AbadieJ MirzaM et al.Generative Adversarial Networks;2014.http://arxiv.org/abs/1406.2661

5. Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy

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