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Lung Segmentation in X-Ray Using GANs by Anna Poorani is a document available to read on EtoBox.

The document presents a paper published in IEEE Access that discusses a method for lung segmentation in chest X-ray images using Generative Adversarial Networks (GAN). The authors report achieving high accuracy with a dice-score of 0.9740 and an IOU score of 0.943, outperforming existing state-of-the-art methods. The paper emphasizes the importance of accurate lung segmentation in medical diagnostics and introduces a novel GAN architecture for this purpose.

Author
Anna Poorani
Language
EN