Robustness of Single- and Dual-Energy Deep-Learning-Based Scatter Correction Models on Simulated and Real Chest X-rays

Robustness of Single- and Dual-Energy Deep-Learning-Based Scatter Correction Models on Simulated and Real Chest X-rays

Chest X-rays (CXRs) represent the first tool globally employed to detect cardiopulmonary pathologies. These acquisitions are highly affected by scattered photons due to the large field of view required. Scatter in CXRs introduces background in the images, which reduces their contrast. We developed t...

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Bibliographic Details
Main Authors: Clara Freijo, Joaquin L. Herraiz, Fernando Arias-Valcayo, Paula Ibáñez, Gabriela Moreno, Amaia Villa-Abaunza, José Manuel Udías
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Algorithms
Subjects:
X-ray image
scatter correction
deep learning
dual energy
Monte Carlo simulations
Online Access:https://www.mdpi.com/1999-4893/16/12/565

Internet

https://www.mdpi.com/1999-4893/16/12/565

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