BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

Abdar, Moloud; Fahami, M A; Chakrabarti, S; Khosravi, Abbas; Pławiak, P; Acharya, U R; Tadeusiewicz, R; Nahavandi, Saeid

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BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

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posted on 2021-01-01, 00:00 authored by Moloud Abdar, M A Fahami, S Chakrabarti, Abbas KhosraviAbbas Khosravi, P Pławiak, U R Acharya, R Tadeusiewicz, Saeid Nahavandi

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

History

Journal

Information Sciences

Volume

577

Pagination

353 - 378

Publisher

Elsevier

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.ins.2021.07.024

ISSN

0020-0255

eISSN

1872-6291

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000701091900020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

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C1 Refereed article in a scholarly journal

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Keywords

Computer Science Computer Science, Information Systems COVID-19 CLASSIFICATION DEEP Deep learning Early fusion Fusion model Medical image classification Monte Carlo dropout Science & Technology Technology Uncertainty quantification

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BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

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