Datasets of Simulated Exhaled Aerosol Images from Normal and Diseased Lungs with Multi-Level Similarities for Neural Network Training/Testing and Continuous Learning

Datasets of Simulated Exhaled Aerosol Images from Normal and Diseased Lungs with Multi-Level Similarities for Neural Network Training/Testing and Continuous Learning

Although exhaled aerosols and their patterns may seem chaotic in appearance, they inherently contain information related to the underlying respiratory physiology and anatomy. This study presented a multi-level database of simulated exhaled aerosol images from both normal and diseased lungs. An anato...

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Bibliographic Details
Main Authors: Mohamed Talaat, Xiuhua Si, Jinxiang Xi
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Data
Subjects:
convolutional neural network
computer-aided diagnostics
design space
obstructive lung diseases
disease staging
physiology-based modeling
Online Access:https://www.mdpi.com/2306-5729/8/8/126

Internet

https://www.mdpi.com/2306-5729/8/8/126

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