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

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 (US)
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

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Library availability

Discover UIUC Full Text

Cite this

@article{dcc1692b10b94d998517a52c95e36876,

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",

year = "2021",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

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 - http://www.scopus.com/inward/record.url?scp=85120577109&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85120577109&partnerID=8YFLogxK

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

ASJC Scopus subject areas

Library availability

Related links

Fingerprint

Cite this