Automated multi-class classification for prediction of tympanic membrane changes with deep learning models

BACKGROUNDS AND OBJECTIVE: Evaluating the tympanic membrane (TM) using an otoendoscope is the first and most important step in various clinical fields. Unfortunately, most lesions of TM have more than one diagnostic name. Therefore, we built a database of otoendoscopic images with multiple diseases...

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Detalles Bibliográficos
Autores principales: Choi, Yeonjoo, Chae, Jihye, Park, Keunwoo, Hur, Jaehee, Kweon, Jihoon, Ahn, Joong Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550050/
https://www.ncbi.nlm.nih.gov/pubmed/36215265
http://dx.doi.org/10.1371/journal.pone.0275846

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550050/
https://www.ncbi.nlm.nih.gov/pubmed/36215265
http://dx.doi.org/10.1371/journal.pone.0275846

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