Multi-Channel Based Image Processing Scheme for Pneumonia Identification

Multi-Channel Based Image Processing Scheme for Pneumonia Identification

Pneumonia is a prevalent severe respiratory infection that affects the distal and alveoli airways. Across the globe, it is a serious public health issue that has caused high mortality rate of children below five years old and the aged citizens who must have had previous chronic-related ailment. Pneu...

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Bibliographic Details
Main Authors: Grace Ugochi Nneji, Jingye Cai, Jianhua Deng, Happy Nkanta Monday, Edidiong Christopher James, Chiagoziem Chima Ukwuoma
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Diagnostics
Subjects:
local binary pattern (LBP)
contrast limited adaptive histogram equalization (CLAHE)
contrast enhanced canny edge detection (CECED)
deep learning
image identification
pneumonia disease
Online Access:https://www.mdpi.com/2075-4418/12/2/325

Internet

https://www.mdpi.com/2075-4418/12/2/325

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