| Presentation | 2022-07-08 [Short Paper] Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely used in medical applications. In medical field, acquiring sufficient training data with high quality annotations is a major challenge. To solve the lack of training data issue, domain adaptation-based methods have been developed as a technique to bridge the domain gap across datasets with different feature characteristics and data distributions. This paper presents a domain adaptation-based method for detecting liver tumors in multi-phase CT images. To minimize the domain gap, we employ an adversarial learning scheme with the maximum square loss for mid-level output feature maps using an anchorless detector. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Liver tumor detection / multi-phase CT image / domain adaptation / adversarial learning / maximum square loss |
| Paper # | MI2022-37 |
| Date of Issue | 2022-07-01 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2022/7/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical imaging, recoginition, etc. |
| Chair | Hidekata Hontani(Nagoya Inst. of Tech.) |
| Vice Chair | Hideaki Haneishi(Chiba Univ.) / Takayuki Kitasaka(Aichi Inst. of Tech.) |
| Secretary | Hideaki Haneishi(Yamaguchi Univ.) / Takayuki Kitasaka(Univ. of Hyogo) |
| Assistant | Takeshi Hara(Gifu Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Short Paper] Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss |
| Sub Title (in English) | |
| Keyword(1) | Liver tumor detection |
| Keyword(2) | multi-phase CT image |
| Keyword(3) | domain adaptation |
| Keyword(4) | adversarial learning |
| Keyword(5) | maximum square loss |
| 1st Author's Name | Rahul Kumar Jain |
| 1st Author's Affiliation | Ritsumeikan University(Rahul) |
| 2nd Author's Name | Takahiro Sato |
| 2nd Author's Affiliation | tiwaki Co. Ltd., Shiga, Japan(Takahiro) |
| 3rd Author's Name | Taro Watasue |
| 3rd Author's Affiliation | tiwaki Co. Ltd., Shiga, Japan(Taro) |
| 4th Author's Name | Tomohiro Nakagawa |
| 4th Author's Affiliation | tiwaki Co. Ltd., Shiga, Japan(Tomohiro) |
| 5th Author's Name | Yutaro Iwamoto |
| 5th Author's Affiliation | Ritsumeikan University, Japan(Yutaro) |
| 6th Author's Name | Xianhua Han |
| 6th Author's Affiliation | Yamaguchi University, Japan(Xianhua) |
| 7th Author's Name | Lanfen Lin |
| 7th Author's Affiliation | Zhejiang University, Hangzhou, China(Lanfen) |
| 8th Author's Name | Hongjie Hu |
| 8th Author's Affiliation | Zhejiang University, Hangzhou, China(Hongjie) |
| 9th Author's Name | Yen-Wei Chen |
| 9th Author's Affiliation | Ritsumeikan University, Japan(Yen-Wei) |
| Date | 2022-07-08 |
| Paper # | MI2022-37 |
| Volume (vol) | vol.122 |
| Number (no) | MI-98 |
| Page | pp.pp.22-23(MI), |
| #Pages | 2 |
| Date of Issue | 2022-07-01 (MI) |