Automated classification of otitis media in pediatric OCT images: Augmenting with gold-standard animal model data

Guillermo L. Monroy; Jungeun Won; Darold Spillman; Stephen A. Boppart

Automated classification of otitis media in pediatric OCT images: Augmenting with gold-standard animal model data

Guillermo L. Monroy
, Jungeun Won
, Darold Spillman
, Stephen A. Boppart

Department of Biomedical Engineering

University of Illinois at Urbana-Champaign

Research output: Contribution to journal › Conference article › peer-review

Abstract

Specific disease states are often difficult to observe in a clinical setting. Here we demonstrate OCT images from chinchilla ears can supplement existing human data in a machine learning platform to produce diagnostically relevant conclusions.

Original language	English
Article number	OF2E.5
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021 - Virtual, Online, United States Duration: Apr 12 2021 → Apr 16 2021

Cite this

@article{6ca87761bd924514ba497432a351a991,

title = "Automated classification of otitis media in pediatric OCT images: Augmenting with gold-standard animal model data",

abstract = "Specific disease states are often difficult to observe in a clinical setting. Here we demonstrate OCT images from chinchilla ears can supplement existing human data in a machine learning platform to produce diagnostically relevant conclusions.",

author = "Monroy, \{Guillermo L.\} and Jungeun Won and Darold Spillman and Boppart, \{Stephen A.\}",

note = "Publisher Copyright: {\textcopyright} 2021 The Author (s).; Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021 ; Conference date: 12-04-2021 Through 16-04-2021",

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language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Automated classification of otitis media in pediatric OCT images

T2 - Optical Molecular Probes, Imaging and Drug Delivery, OMP 2021 - Part of Biophotonics Congress: Optics in the Life Sciences 2021

AU - Monroy, Guillermo L.

AU - Won, Jungeun

AU - Spillman, Darold

AU - Boppart, Stephen A.

PY - 2021

Y1 - 2021

N2 - Specific disease states are often difficult to observe in a clinical setting. Here we demonstrate OCT images from chinchilla ears can supplement existing human data in a machine learning platform to produce diagnostically relevant conclusions.

AB - Specific disease states are often difficult to observe in a clinical setting. Here we demonstrate OCT images from chinchilla ears can supplement existing human data in a machine learning platform to produce diagnostically relevant conclusions.

UR - https://www.scopus.com/pages/publications/85120577109

M3 - Conference article

AN - SCOPUS:85120577109

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - OF2E.5

Y2 - 12 April 2021 through 16 April 2021

ER -

Automated classification of otitis media in pediatric OCT images: Augmenting with gold-standard animal model data

Abstract

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