Segmentation of lungs in chest x-ray image using generative adversarial networks

HIGHLIGHTS

• who: FAIZAN MUNAWAR and colleagues from the of Electrical Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan have published the paper: Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks, in the Journal: (JOURNAL)
• what: The model is trained evaluated using four different discriminators referred to as D1 D2 D3 D4 respectively. In this work, GAN based model for segmentation of lungs from Chest X-ray images is presented. The authors report the segmentation results on different types of discriminator networks to identify the best possible match and achieved better accuracy . . .
  

   

  

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