| Presentation | 2023-11-14 Medical image diagnosis support system with image anonymization based on deep learning techniques Katsuto Iwai, Ryuunosuke Kounosu, Hirokazu Nosato, Yuu Nakajima, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | When medical imaging AI models are hosted on cloud service there is a risk of sensitive medical images being leaked when transmitted over the Internet. In order to overcome this problem, this study proposes an image diagnosis support system with an image anonymization mechanism that irreversibly transforms images and achieves lesion classification. In the proposed approach, medical images are not directly fed to the classification AI model. Instead, a Variational Auto-Encoder (VAE) mechanism is used to extract anonymized features that can be classified by a later classification AI model. Specifically, during the training of the VAE and the classification model, the classification error is backpropagated to teach the VAE to only reconstruct necessary information for classification as features. This study demonstrates the effectiveness of the proposed method for classification and anonymization by utilizing the MNIST dataset, the Fashion-MNIST dataset, the CIFAR-10 dataset and clinical cystoscope images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Image Anonymization / machine learning / medical images / cloud service / diagnosis support |
| Paper # | MICT2023-30,MI2023-23 |
| Date of Issue | 2023-11-07 (MICT, MI) |
| Conference Information | |
| Committee | MI / MICT |
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| Conference Date | 2023/11/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Ryo Haraguchi(Univ. of Hyogo) / Hirokazu Tanaka(Hiroshima City Univ.) |
| Vice Chair | Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) / Chika Sugimoto(Yokohama National Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) |
| Secretary | Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(NAIST) / Chika Sugimoto(Okayama Pref. Univ.) / Daisuke Anzai(Hiroshima City Univ) |
| Assistant | Takeshi Hara(Gifu Univ.) / Kenichi Morooka(Okayama Univ.) / Dairoku Muramatsu(Univ. of Electro & Comm.) / Natsuki Nakayama(Nagoya Univ.) / Ami Tanaka(Ritsumeikan Univ.) / Kun Li(Kagawa Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging / Technical Committee on Healthcare and Medical Information Communication Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Medical image diagnosis support system with image anonymization based on deep learning techniques |
| Sub Title (in English) | |
| Keyword(1) | Image Anonymization |
| Keyword(2) | machine learning |
| Keyword(3) | medical images |
| Keyword(4) | cloud service |
| Keyword(5) | diagnosis support |
| 1st Author's Name | Katsuto Iwai |
| 1st Author's Affiliation | Toho University/National Institute of Advanced Industrial Science and Technology(Toho Univ./AIST) |
| 2nd Author's Name | Ryuunosuke Kounosu |
| 2nd Author's Affiliation | Toho University/National Institute of Advanced Industrial Science and Technology(Toho Univ./AIST) |
| 3rd Author's Name | Hirokazu Nosato |
| 3rd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 4th Author's Name | Yuu Nakajima |
| 4th Author's Affiliation | Toho University(Toho Univ.) |
| Date | 2023-11-14 |
| Paper # | MICT2023-30,MI2023-23 |
| Volume (vol) | vol.123 |
| Number (no) | MICT-256,MI-257 |
| Page | pp.pp.21-24(MICT), pp.21-24(MI), |
| #Pages | 4 |
| Date of Issue | 2023-11-07 (MICT, MI) |