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- W3015581137 abstract "Idiopathic Pulmonary Fibrosis (IPF) is a chronic, severe, and progressive lung disease with short life expectancy. Based on information theory and entropy measurement, a three-dimensional multiscale fuzzy entropy (MFESD) algorithm is proposed to identify IPF patients from their computed tomography (CT) volumetric data. First, the validation of the algorithm was performed by analyzing several volumetric synthetic noises (white, blue, brown, and pink), MIX(p) processes-based volumes, and texture-based volumes. The entropy values obtained by MFESD were consistent with the values obtained using the one, and two-dimensional versions, validating its use in biomedical data. Hence, MFESD was applied to CT scans to identify the existence of IPF within two different groups, one of healthy subjects (26) and another of IPF patients (26). Statistical differences were found (p <; 0.05) between the entropy values of each group in 5 scale factors out of 10. These results demonstrate that MFESD could be an interesting metric to identify IPF in CT scans." @default.
- W3015581137 created "2020-04-17" @default.
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- W3015581137 date "2021-01-01" @default.
- W3015581137 modified "2023-10-16" @default.
- W3015581137 title "Three-Dimensional Multiscale Fuzzy Entropy: Validation and Application to Idiopathic Pulmonary Fibrosis" @default.
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- W3015581137 doi "https://doi.org/10.1109/jbhi.2020.2986210" @default.
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