bouadjenek-multileveldepth-inpress-2021.pdf (2.5 MB)

Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions

journal contribution

posted on 2021-10-26, 00:00 authored by A Qayyum, M Mazhar, Imran RazzakImran Razzak, Mohamed Reda BouadjenekMohamed Reda Bouadjenek

Multilevel depth-wise context attention network with atrous mechanism for segmentation of COVID19 affected regions

History

Journal

Neural Computing and Applications

Pagination

1 - 13

Publisher

Springer

Location

London, Eng.

Publisher DOI

https://doi.org/10.1007/s00521-021-06636-w

Link to full text

https://link.springer.com/content/pdf/10.1007/s00521-021-06636-w.pdf

ISSN

0941-0643

eISSN

1433-3058

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Usage metrics

Research Publications

Categories

Artificial Intelligence and Image Processing

Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science COVID19 CT Atrous mechanism Segmentation Depth-wise Channel-wise CNN LUNG INFECTION SEGMENTATION FRAMEWORK ROBUST

Licence

All Rights Reserved

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