| Presentation | 2022-12-05 Application of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano, Keiichi Uchida, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Calcification regions that are a sign of vascular diseases may be observed on dental panoramic radiographs. The finding of calcification regions can be used to prevent the sudden onset of vascular disorders by encouraging dental patients to seek medical attention. For this purpose, automatic detection methods based on semantic segmentation have been proposed, but the amount of data used is small, and the identification accuracy is insufficient. This paper proposes a method to solve this problem by applying adversarial training to TransFuse network based on Transformer and convolutional neural network (CNN). Adversarial Features are introduced as adversarial training to the semantic segmentation problem. The proposed method is expected to improve the segmentation accuracy even with a small dataset. The effectiveness of the proposed method was confirmed by applying it to actual data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | dental panoramic radiograph / vascular disease / deep learning / semantic segmentation / regularization / adversarial examples |
| Paper # | SIS2022-28 |
| Date of Issue | 2022-11-28 (SIS) |
| Conference Information | |
| Committee | SIS |
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| Conference Date | 2022/12/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tomoaki Kimura(Kanagawa Inst. of Tech.) |
| Vice Chair | Naoto Sasaoka(Tottori Univ.) / Hakaru Tamukoh(Kyushu Inst. of Tech.) |
| Secretary | Naoto Sasaoka(NTT) / Hakaru Tamukoh(Kansai Univ.) |
| Assistant | Yoshiaki Makabe(Kanagawa Inst. of Tech.) / Yosuke Sugiura(Saitama Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Info-Media Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs |
| Sub Title (in English) | |
| Keyword(1) | dental panoramic radiograph |
| Keyword(2) | vascular disease |
| Keyword(3) | deep learning |
| Keyword(4) | semantic segmentation |
| Keyword(5) | regularization |
| Keyword(6) | adversarial examples |
| 1st Author's Name | Sei Takano |
| 1st Author's Affiliation | Kansai University(Kansai Univ.) |
| 2nd Author's Name | Mitsuji Muneyasu |
| 2nd Author's Affiliation | Kansai University(Kansai Univ.) |
| 3rd Author's Name | Soh Yoshida |
| 3rd Author's Affiliation | Kansai University(Kansai Univ.) |
| 4th Author's Name | Akira Asano |
| 4th Author's Affiliation | Kansai University(Kansai Univ.) |
| 5th Author's Name | Keiichi Uchida |
| 5th Author's Affiliation | Matsumoto Dental University Hospital,(Matsumoto Dental Univ. Hospital) |
| Date | 2022-12-05 |
| Paper # | SIS2022-28 |
| Volume (vol) | vol.122 |
| Number (no) | SIS-293 |
| Page | pp.pp.26-31(SIS), |
| #Pages | 6 |
| Date of Issue | 2022-11-28 (SIS) |