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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Veröffentlicht in:	IEEE access 2020-01, Vol.8, p.1-1
Hauptverfasser:	Munawar, Faizan, Azmat, Shoaib, Iqbal, Talha, Gronlund, Christer, Ali, Hazrat
Format:	Artikel
Sprache:	eng
Schlagworte:	Chest Computed tomography Deep learning Discriminators Generative adversarial networks Ground truth Image segmentation Imaging techniques lung segmentation Lungs Masks Medical imaging Positron emission Respiratory diseases Tomography
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