Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy-Reference-Cited by-同舟云学术

Developing deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy

Published:2024-02 Issue: Volume:236 Page:121300
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Alsattar Hassan A.,Qahtan Sarah^ORCID,Zaidan Aws Alaa,Deveci Muhammet,Martinez Luis^ORCID,Pamucar Dragan,Pedrycz Witold

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference74 articles.

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3. Automated Systems for Detection of COVID-19 Using Chest X-ray Images and Lightweight Convolutional Neural Networks;Alqudah;Emergency Radiology,2020

4. An assessment of plantar fascia with ultrasound findings in patients with plantar fasciitis: A systematic review;Ammas;Journal of Ultrasound,2022

5. Artificial intelligence-driven assessment of radiological images for COVID-19;Bouchareb;Computers in Biology and Medicine,2021

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