A deep and handcrafted features‐based framework for diagnosis of COVID‐19 from chest x‐ray images-Reference-Cited by-同舟云学术

A deep and handcrafted features‐based framework for diagnosis of COVID‐19 from chest x‐ray images

Published:2021-11-19 Issue:5 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Bozkurt Ferhat¹^ORCID

Affiliation:

1. Department of Computer Engineering, Faculty of Engineering Atatürk University Erzurum Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6725

Reference48 articles.

1. WHO.Pneumonia of unknown cause–China. emergencies preparedness response. disease outbreak news. World Health Organization (WHO); 2020.

2. Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study

3. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study

4. KhuzaniAZ HeidariM ShariatiSA.COVID‐Classifier: An automated machine learning model to assist in the diagnosis of COVID‐19 infection in chest x‐ray images. medRxiv; 2020.

5. CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hybrid deep features computed from spatial images and bit plane-based pattern maps for the classification of chest X-ray images;Journal of Radiation Research and Applied Sciences;2024-09

2. A multi-resolution convolutional attention network for efficient diabetic retinopathy classification;Computers and Electrical Engineering;2024-07

3. An improved 3D U-Net-based deep learning system for brain tumor segmentation using multi-modal MRI;Multimedia Tools and Applications;2024-05-25

4. Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate;Turkish Journal of Electrical Engineering and Computer Sciences;2024-05-20

5. Automatic Maize Leaf Disease Recognition Using Deep Learning;Sakarya University Journal of Computer and Information Sciences;2024-04-30