Machine learning- based lung disease diagnosis from CT images using Gabor features in Littlewood Paley empirical wavelet transform (LPEWT) and LLE-Reference-Cited by-同舟云学术

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Machine learning- based lung disease diagnosis from CT images using Gabor features in Littlewood Paley empirical wavelet transform (LPEWT) and LLE

Published:2023-03-12 Issue:5 Volume:11 Page:1762-1776
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Patel Rajneesh Kumar¹,Kashyap Manish¹

Affiliation:

1. Department of Electronics & Communication, Maulana Azad National Institute of Technology, Bhopal (M.P.), India

Funder

funding

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2187244

Reference55 articles.

1. Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier

2. Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features

3. Model selection for the LS-SVM. Application to handwriting recognition

4. An Automated CAD System of CT Chest Images for COVID-19 Based on Genetic Algorithm and K-Nearest Neighbor Classifier

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