A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images

A Novel Method for Multivariant Pneumonia Classification Based on Hybrid CNN-PCA Based Feature Extraction Using Extreme Learning Machine With CXR Images

In this era of COVID19, proper diagnosis and treatment of pneumonia are very important. Chest X-Ray (CXR) image analysis plays a vital role in the reliable diagnosis of pneumonia. An experienced radiologist is required for this. However, even for an experienced radiographer, it is quite challenging...

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Auteurs principaux: Md. Nahiduzzaman, Md. Omaer Faruq Goni, Md. Shamim Anower, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider, Saravanakumar Gurusamy, Rakibul Hassan, Md. Rakibul Islam
Format: article
Langue:EN
Publié: IEEE 2021
Sujets:
Chest X-Ray (CXR)
convolutional neural network (CNN)
contrast limited adaptive histogram equalization (CLAHE)
extreme learning machine (ELM)
feature extraction
principal component analysis (PCA)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Accès en ligne:https://doaj.org/article/f1b94c2133aa40a2b4ae5619a828f88f
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https://doaj.org/article/f1b94c2133aa40a2b4ae5619a828f88f

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