Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12500-3.pdf
Reference67 articles.
1. Abbas A, Abdelsamea M M, Gaber M M (2020) Classification of covid-19 in chest x-ray images using detrac deep convolutional neural network. arXiv preprint arXiv:2003.13815
2. Afshar P, Heidarian S, Naderkhani F, Oikonomou A, Plataniotis K N, Mohammadi A (2020) Covid-caps: A capsule network-based framework for identification of covid-19 cases from x-ray images. Pattern Recogn Lett 138:638–643
3. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, Tao Q, Sun Z, Xia L (2020) Correlation of chest ct and rt- pcr testing in coronavirus disease 2019 (covid-19) in china: a report of 1014 cases. Radiology, pp 200642
4. Alimadadi A, Aryal S, Manandhar I, Munroe PB, Joe B, Cheng X (2020) Artificial intelligence and machine learning to fight covid-19
5. Altman N S (1992) An introduction to kernel and nearest-neighbor non parametric regression. The American Statistician 46(3):175–185
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