Artificial Intelligence-driven Advancements in Otitis Media Diagnosis: A Systematic Review

Rony, Md Awlad Hossen; Fatema, Kaniz; Raiaan, Mohaimenul Azam Khan; Hassan, Md Mehedi; Azam, Sami; Karim, Asif; Jonkman, Mirjam; Beissbarth, Jemima; De Boer, Friso; Islam, Shariful; Leach, Amanda

Artificial Intelligence-driven Advancements in Otitis Media Diagnosis: A Systematic Review

journal contribution

posted on 2024-08-20, 00:06 authored by Md Awlad Hossen Rony, Kaniz Fatema, Mohaimenul Azam Khan Raiaan, Md Mehedi Hassan, Sami Azam, Asif Karim, Mirjam Jonkman, Jemima Beissbarth, Friso De Boer, Shariful Islam, Amanda Leach

Artificial Intelligence-driven Advancements in Otitis Media Diagnosis: A Systematic Review

History

Journal

IEEE Access

Volume

12

Pagination

99282-99307

Location

Piscataway, N.J.

Open access

Yes

ISSN

2169-3536

eISSN

2169-3536

Language

en

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication URL

http://dx.doi.org/10.1109/access.2024.3428700

Usage metrics

Keywords

Otitis media AI datasets otoscopy image ensemble model segmentation tympanometry Technology

Licence

CC BY-NC-ND 4.0

Artificial Intelligence-driven Advancements in Otitis Media Diagnosis: A Systematic Review

History

Journal

Volume

Pagination

Location

Open access

ISSN

eISSN

Language

Publication classification

Publisher

Publication URL

Usage metrics

Categories

Keywords

Licence

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