Enhancement of Chest X-Ray Images to Improve Screening Accuracy Rate Using Iterated Function System and Multilayer Fractional-Order Machine Learning Classifier

Enhancement of Chest X-Ray Images to Improve Screening Accuracy Rate Using Iterated Function System and Multilayer Fractional-Order Machine Learning Classifier

Chest X-ray (CXR) images are usually used to identify the causes of patients' symptoms, including the classes of lung or heart disorders. In visualization examination, CXR imaging in anterior-posterior (A-P) views is a preliminary screening method used by clinicians or radiologists to diagnose...

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Bibliographic Details
Main Authors: Chia-Hung Lin, Jian-Xing Wu, Chien-Ming Li, Pi-Yun Chen, Neng-Sheng Pai, Ying-Che Kuo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Photonics Journal
Subjects:
Chest X-ray
iterated function system
multilayer machine-learning decision-making classifier
fractional-order convolution
nonlinear interpolation function
Online Access:https://ieeexplore.ieee.org/document/9153099/

Internet

https://ieeexplore.ieee.org/document/9153099/

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