Paper Abstract and Keywords |
Presentation |
2024-03-05 13:42
Development of a Diagnostic Support System for Intranasal Disease Kaho Ukai, Youngha Chang, Nobuhiko Mukai (TCU), Kojiro Hirano, Kouzou Murakami (SUSM/SUH) |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this research, a support system has been developed to diagnose whether an endoscopic image shows "severely abnormal nasal cavity (Symptom+)" or "not severely abnormal nasal cavity (Symptom-)". ResNet50 and VGG16 are employed as the deep learning models, and fine-tuning is performed with endoscope images of the nasal cavity after pre-training with ImageNet. The average diagnostic accuracy of stratified 4-fold cross-validation was about 80%, while the recall rate of Symptom+ was about 60%. In the future, we plan to improve the recall rate for practical use. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Intra nasal disease / Endoscope images / Deep learning / Fine tuning / Computer-aided diagnosis / / / |
Reference Info. |
ITE Tech. Rep., vol. 48, no. 8, AIT2024-70, pp. 135-138, March 2024. |
Paper # |
AIT2024-70 |
Date of Issue |
2024-02-27 (AIT) |
ISSN |
Online edition: ISSN 2424-1970 |
Download PDF |
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Conference Information |
Committee |
AIT IIEEJ AS CG-ARTS |
Conference Date |
2024-03-05 - 2024-03-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo University of Technology |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Expressive Japan 2024 |
Paper Information |
Registration To |
AIT |
Conference Code |
2024-03-AIT-IIEEJ-AS-ARTS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Development of a Diagnostic Support System for Intranasal Disease |
Sub Title (in English) |
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Keyword(1) |
Intra nasal disease |
Keyword(2) |
Endoscope images |
Keyword(3) |
Deep learning |
Keyword(4) |
Fine tuning |
Keyword(5) |
Computer-aided diagnosis |
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1st Author's Name |
Kaho Ukai |
1st Author's Affiliation |
Tokyo City University (TCU) |
2nd Author's Name |
Youngha Chang |
2nd Author's Affiliation |
Tokyo City University (TCU) |
3rd Author's Name |
Nobuhiko Mukai |
3rd Author's Affiliation |
Tokyo City University (TCU) |
4th Author's Name |
Kojiro Hirano |
4th Author's Affiliation |
Showa University School of Medicine/Showa University Hospital (SUSM/SUH) |
5th Author's Name |
Kouzou Murakami |
5th Author's Affiliation |
Showa University School of Medicine/Showa University Hospital (SUSM/SUH) |
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Speaker |
Author-1 |
Date Time |
2024-03-05 13:42:00 |
Presentation Time |
12 minutes |
Registration for |
AIT |
Paper # |
AIT2024-70 |
Volume (vol) |
vol.48 |
Number (no) |
no.8 |
Page |
pp.135-138 |
#Pages |
4 |
Date of Issue |
2024-02-27 (AIT) |