| 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 |
|
| 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) |
|
| Keyword(1) |
Intra nasal disease |
| Keyword(2) |
Endoscope images |
| Keyword(3) |
Deep learning |
| Keyword(4) |
Fine tuning |
| Keyword(5) |
Computer-aided diagnosis |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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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) |