NDLI: A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images.

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A deep-learning based multimodal system for Covid-19 diagnosis using breathing sounds and chest X-ray images.

Content Provider	Europe PMC
Author	Sait, Unais K.V., Gokul Lal Shivakumar, Sanjana Kumar, Tarun Bhaumik, Rahul Prajapati, Sunny Bhalla, Kriti Chakrapani, Anaghaa
Copyright Year	2021
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8149173&blobtype=pdf
ISSN	15684946
Journal	Applied Soft Computing [Appl Soft Comput]
Volume Number	109
DOI	10.1016/j.asoc.2021.107522
PubMed Central reference number	PMC8149173
PubMed reference number	34054379
e-ISSN	18729681
Language	English
Publisher	Elsevier B.V.
Publisher Date	2021-05-26
Access Restriction	Open
Rights License	Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. © 2021 Elsevier B.V. All rights reserved.
Subject Keyword	Covid-19 CNN MLP Chest X-ray images Breathing sounds Deep-learning
Content Type	Text
Resource Type	Article
Subject	Software

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