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| Presentation | 2022-07-08 17:00 [Short Paper] Weakly-Supervised Focal Liver Lesion Detection in CT Images He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.)  MI2022-40 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoencoder. The autoencoder is expected to produce lower reconstruction error for the normal data than the abnormal ones, and the reconstruction error is typically set as a measurement index for distinguishing anomalies. In practice, however, this notion is not always compatible. The autoencoder's reconstruction ability is sometimes so good that it can reconstruct anomalies with low error, resulting in the loss of anomaly detection. To address this limitation, we present a novel weakly-supervised learning method based on the generative adversarial network. The network learns the feature distribution of both normal and abnormal samples. The use of an autoencoder in the generator network allows the model to map the input image to a lower dimension vector and then remap it back to its reconstructions. The additional encoder discriminator network maps the real and generated images to their latent representations and determines whether the generated image is true or false. As a result, a higher error-index indicates that the sample is an anomaly. Experimentation on medical images from a publicly available liver dataset demonstrates the model's superiority over previous state-of-the-art approaches. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Anomaly detection / weakly-supervised learning / generative adversarial networks / medical images / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 98, MI2022-40, pp. 30-33, July 2022. | |
| Paper # | MI2022-40 | |
| Date of Issue | 2022-07-01 (MI) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MI2022-40 |
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| Conference Information | |
| Committee | MI |
| Conference Date | 2022-07-08 - 2022-07-09 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging, recoginition, etc. |
| Paper Information | |
| Registration To | MI |
| Conference Code | 2022-07-MI |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Weakly-Supervised Focal Liver Lesion Detection in CT Images |
| Sub Title (in English) | |
| Keyword(1) | Anomaly detection |
| Keyword(2) | weakly-supervised learning |
| Keyword(3) | generative adversarial networks |
| Keyword(4) | medical images |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | He Li |
| 1st Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name | Yutaro Iwamoto |
| 2nd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 3rd Author's Name | Xianhua Han |
| 3rd Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 4th Author's Name | Lanfen Lin |
| 4th Author's Affiliation | Zhejiang University (Zhejiang Univ.) |
| 5th Author's Name | Ruofeng Tong |
| 5th Author's Affiliation | Zhejiang University (Zhejiang Univ.) |
| 6th Author's Name | Hongjie Hu |
| 6th Author's Affiliation | Zhejiang University (Zhejiang Univ.) |
| 7th Author's Name | Akira Furukawa |
| 7th Author's Affiliation | Tokyo Metropolitan University (Tokyo Metropolitan Univ.) |
| 8th Author's Name | Shuzo Kanasaki |
| 8th Author's Affiliation | Koseikai Takeda Hospital (Koseikai Takeda Hospital) |
| 9th Author's Name | Yen-Wei Chen |
| 9th Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2022-07-08 17:00:00 |
| Presentation Time | 20 minutes |
| Registration for | MI |
| Paper # | MI2022-40 |
| Volume (vol) | vol.122 |
| Number (no) | no.98 |
| Page | pp.30-33 |
| #Pages | 4 |
| Date of Issue | 2022-07-01 (MI) |
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