ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans

Alex Noel Joseph Raj; Haipeng Zhu; Asiya Khan; Zhemin Zhuang; Zengbiao Yang; G. V.Vijayalakshmi Mahesh; Ganesan Karthik

doi:10.7717/peerj-cs.349

ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans

Alex Noel Joseph Raj, Haipeng Zhu, Asiya Khan, Zhemin Zhuang^*, Zengbiao Yang, G. V.Vijayalakshmi Mahesh, Ganesan Karthik

^*Corresponding author for this work

School of Engineering, Computing and Mathematics

Research output: Contribution to journal › Article › peer-review

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Original language	English
Number of pages	0
Journal	PeerJ Computer Science
Volume	7
Issue number	0
Early online date	26 Jan 2021
DOIs	https://doi.org/10.7717/peerj-cs.349
Publication status	Published - 26 Jan 2021

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10.7717/peerj-cs.349

Cs-52665-ADID UNE Revised Clean

Cite this

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title = "ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans",

author = "Raj, {Alex Noel Joseph} and Haipeng Zhu and Asiya Khan and Zhemin Zhuang and Zengbiao Yang and Mahesh, {G. V.Vijayalakshmi} and Ganesan Karthik",

year = "2021",

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doi = "10.7717/peerj-cs.349",

language = "English",

volume = "7",

journal = "PeerJ Computer Science",

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T1 - ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans

AU - Raj, Alex Noel Joseph

AU - Zhu, Haipeng

AU - Khan, Asiya

AU - Zhuang, Zhemin

AU - Yang, Zengbiao

AU - Mahesh, G. V.Vijayalakshmi

AU - Karthik, Ganesan

PY - 2021/1/26

Y1 - 2021/1/26

UR - https://pearl.plymouth.ac.uk/context/secam-research/article/1337/viewcontent/cs_52665_ADID_UNE_Revised_Clean.pdf

U2 - 10.7717/peerj-cs.349

DO - 10.7717/peerj-cs.349

M3 - Article

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VL - 7

JO - PeerJ Computer Science

JF - PeerJ Computer Science

IS - 0

ER -

ADID-UNET—a segmentation model for COVID-19 infection from lung CT scans

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