Synthetic Medical Imaging Generation with Generative Adversarial Networks For Plain Radiographs

In medical imaging, access to data is commonly limited due to patient privacy restrictions and the issue that it can be difficult to acquire enough data in the case of rare diseases.[1] The purpose of this investigation was to develop a reusable open-source synthetic image generation pipeline, the G...

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Veröffentlicht in:	arXiv.org 2024-03
Hauptverfasser:	McNulty, John R, Kho, Lee, Case, Alexandria L, naca, Charlie, Johnston, Drew, Slater, David, Abzug, Joshua M, Russell, Sybil A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Digital imaging Generative adversarial networks Image processing Image quality Medical electronics Medical imaging Performance evaluation Pipeline design Synthetic data
Online-Zugang:	Volltext
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