iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence

Mainak Adak; Aayushman Chatterjee; Nilanjana Dutta Roy; Mufti Mahmud

doi:10.1007/978-3-031-24801-6_15

iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence

Mainak Adak
, Aayushman Chatterjee
, Nilanjana Dutta Roy^*
, Mufti Mahmud

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Conjunctivitis is one of the common and contagious ocular diseases which affects the conjunctiva of the human eye. Both the bacterial and viral types of it can be treated with eye drops and other medicines. It is important to diagnose the disease at its early stage to realise the connection between it and other diseases, especially COVID-19. Mobile applications like iConDet is such a solution that performs well for the initial screening of Conjunctivitis. In this work, we present with iConDet2 which provides an advanced solution than the earlier version of it. It is faster with a higher accuracy level (95%) than the previously released iConDet.

Original language	English
Title of host publication	Applied Intelligence and Informatics - Second International Conference, AII 2022, Proceedings
Editors	Mufti Mahmud, Cosimo Ieracitano, Nadia Mammone, Francesco Carlo Morabito, M. Shamim Kaiser
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	205-218
Number of pages	14
ISBN (Print)	9783031248009
DOIs	https://doi.org/10.1007/978-3-031-24801-6_15
State	Published - 2022
Externally published	Yes
Event	2nd International Conference on Applied Intelligence and Informatics, AII 2022 - Reggio Calabria, Italy Duration: 1 Sep 2022 → 3 Sep 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1724 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	2nd International Conference on Applied Intelligence and Informatics, AII 2022
Country/Territory	Italy
City	Reggio Calabria
Period	1/09/22 → 3/09/22

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Conjunctivitis
Mobile application
Resnet
Transfer learning
iConDet

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-031-24801-6_15

Cite this

Adak, M., Chatterjee, A., Roy, N. D., & Mahmud, M. (2022). iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence. In M. Mahmud, C. Ieracitano, N. Mammone, F. C. Morabito, & M. S. Kaiser (Eds.), Applied Intelligence and Informatics - Second International Conference, AII 2022, Proceedings (pp. 205-218). (Communications in Computer and Information Science; Vol. 1724 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-24801-6_15

Adak, Mainak ; Chatterjee, Aayushman ; Roy, Nilanjana Dutta et al. / iConDet2 : An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence. Applied Intelligence and Informatics - Second International Conference, AII 2022, Proceedings. editor / Mufti Mahmud ; Cosimo Ieracitano ; Nadia Mammone ; Francesco Carlo Morabito ; M. Shamim Kaiser. Springer Science and Business Media Deutschland GmbH, 2022. pp. 205-218 (Communications in Computer and Information Science).

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abstract = "Conjunctivitis is one of the common and contagious ocular diseases which affects the conjunctiva of the human eye. Both the bacterial and viral types of it can be treated with eye drops and other medicines. It is important to diagnose the disease at its early stage to realise the connection between it and other diseases, especially COVID-19. Mobile applications like iConDet is such a solution that performs well for the initial screening of Conjunctivitis. In this work, we present with iConDet2 which provides an advanced solution than the earlier version of it. It is faster with a higher accuracy level (95\%) than the previously released iConDet.",

keywords = "Conjunctivitis, Mobile application, Resnet, Transfer learning, iConDet",

author = "Mainak Adak and Aayushman Chatterjee and Roy, \{Nilanjana Dutta\} and Mufti Mahmud",

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language = "English",

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editor = "Mufti Mahmud and Cosimo Ieracitano and Nadia Mammone and Morabito, \{Francesco Carlo\} and Kaiser, \{M. Shamim\}",

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Adak, M, Chatterjee, A, Roy, ND & Mahmud, M 2022, iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence. in M Mahmud, C Ieracitano, N Mammone, FC Morabito & MS Kaiser (eds), Applied Intelligence and Informatics - Second International Conference, AII 2022, Proceedings. Communications in Computer and Information Science, vol. 1724 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 205-218, 2nd International Conference on Applied Intelligence and Informatics, AII 2022, Reggio Calabria, Italy, 1/09/22. https://doi.org/10.1007/978-3-031-24801-6_15

iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence. / Adak, Mainak; Chatterjee, Aayushman; Roy, Nilanjana Dutta et al.
Applied Intelligence and Informatics - Second International Conference, AII 2022, Proceedings. ed. / Mufti Mahmud; Cosimo Ieracitano; Nadia Mammone; Francesco Carlo Morabito; M. Shamim Kaiser. Springer Science and Business Media Deutschland GmbH, 2022. p. 205-218 (Communications in Computer and Information Science; Vol. 1724 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Conjunctivitis is one of the common and contagious ocular diseases which affects the conjunctiva of the human eye. Both the bacterial and viral types of it can be treated with eye drops and other medicines. It is important to diagnose the disease at its early stage to realise the connection between it and other diseases, especially COVID-19. Mobile applications like iConDet is such a solution that performs well for the initial screening of Conjunctivitis. In this work, we present with iConDet2 which provides an advanced solution than the earlier version of it. It is faster with a higher accuracy level (95%) than the previously released iConDet.

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PB - Springer Science and Business Media Deutschland GmbH

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Adak M, Chatterjee A, Roy ND, Mahmud M. iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence. In Mahmud M, Ieracitano C, Mammone N, Morabito FC, Kaiser MS, editors, Applied Intelligence and Informatics - Second International Conference, AII 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 205-218. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-24801-6_15

iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this