z-logo
open-access-imgOpen Access
Improved Analysis of COVID-19 Influenced Pneumonia from the Chest X-Rays Using Fine-Tuned Residual Networks
Author(s) -
Amel Ksibi,
Mohammed Zakariah,
Manel Ayadi,
Hela Elmannai,
Prashant Kumar Shukla,
Awal Halifa,
Monia Hamdi
Publication year - 2022
Publication title -
computational intelligence and neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 52
eISSN - 1687-5273
pISSN - 1687-5265
DOI - 10.1155/2022/9414567
Subject(s) - computer science , covid-19 , artificial intelligence , convolutional neural network , residual , deep learning , identification (biology) , machine learning , pneumonia , artificial neural network , pattern recognition (psychology) , medicine , pathology , algorithm , biology , botany , disease , infectious disease (medical specialty)

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom