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  4. Computer-Aided Ear Diagnosis System Based on CNN-LSTM Hybrid Learning Framework for Video Otoscopy Examination
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Computer-Aided Ear Diagnosis System Based on CNN-LSTM Hybrid Learning Framework for Video Otoscopy Examination

Journal
IEEE Access
ISSN
2169-3536
Date Issued
2021
Author(s)
Michelle Viscaino
Juan C. Maass
Facultad de Medicina ClĂ­nica Alemana Universidad del Desarrollo  
Paul H. Delano
Fernando Auat Cheein
Type
Resource Types::text::journal::journal article
Scopus ID
2-s2.0-85120578872
WoS ID
WOS:000730451000001
DOI
10.1109/ACCESS.2021.3132133
URL
https://investigadores.udd.cl/handle/123456789/6327
Subjects
ear

; 

feature extraction

; 

convolutional neural networks

; 

computer architecture

; 

media

; 

diseases

; 

data models

; 

computer-aided diagnosis

; 

convolutional neural network

; 

deep learning

; 

ear diseases

; 

lstm

; 

otolaryngology

; 

transfer learning

; 

computer aided analysis

; 

computer aided instruction

; 

convolution

; 

deep neural networks

; 

endoscopy

; 

condition

; 

convolutional neural network

; 

deep learning

; 

ear canal

; 

ear disease

; 

hybrid learning

; 

learning frameworks

; 

lstm

; 

otolaryngology

; 

transfer learning

; 

computer aided diagnosis
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