New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis

https://hdl.handle.net/10536/DRO/DU:30152681
Open external identifier URL

journal contribution

posted on 2024-06-05, 11:56 authored by C Sitaula, Sunil AryalSunil Aryal

New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis

History

Related Materials

1.
DOI - Is version of https://doi.org/10.1007/s13755-021-00152-w

Location

England

Open access

Yes

Link to full text

http://doi.org/10.1007/s13755-021-00152-w

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Journal

Health Information Science and Systems

Volume

9

Article number

ARTN 24

Pagination

1 - 12

ISSN

2047-2501

eISSN

2047-2501

Issue

1

Publisher

SPRINGER

Usage metrics

Categories

No categories selected

Keywords

Science & Technology Life Sciences & Biomedicine Medical Informatics Bag of visual words (BoVW)Bag of deep visual words (BoDVW)Chest X-ray COVID-19 Deep features SARS-CoV-2 NEURAL-NETWORK CORONAVIRUS SCENE US Air Force Office of Scientific Research and Office of Naval Research under award number FA2386-20-1-4005

Licence

All Rights Reserved

Exports