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Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks

Chest X-ray (CXR) is a low-cost medical imaging technique. It is a common procedure for the identification of many respiratory diseases compared to MRI, CT, and PET scans. This paper presents the use of generative adversarial networks (GAN) to perform the task of lung segmentation on a given CXR. GA...

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Bibliografische Detailangaben
Hauptverfasser: Faizan Munawar, Shoaib Azmat, Talha Iqbal, Christer Gronlund, Hazrat Ali
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2020-01-01
Schriftenreihe:IEEE Access
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Online-Zugang:https://ieeexplore.ieee.org/document/9171249/
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