Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 조성현 | - |
dc.date.accessioned | 2023-04-25T01:30:23Z | - |
dc.date.available | 2023-04-25T01:30:23Z | - |
dc.date.issued | 2022-02 | - |
dc.identifier.citation | 2022 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), | en_US |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9748503 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/179228 | - |
dc.description.abstract | Blood tests are used to screen a risk group for hepatocellular carcinoma. Various studies have utilized artificial intelligence to diagnose hepatocellular carcinoma using blood test records. However, most studies suffer from performance degradation due to insufficient data. In this paper, we propose a novel graph convolutional network-based computer-aided diagnosis model to address the data insufficiency problem. The proposed method assists training by converting data into graphs representing the relationships among the features. As a result, our diagnosis model has improved 4% accuracy compared to existing approaches with 89.3% accuracy. | - |
dc.description.sponsorship | This research was supported by the MSIP(Ministry of Science, ICT & Future Planning), Korea, under the National Program for Excellence in SW)(2018-0-00192) supervised by the IITP(Institute for Information & communications Technology Planing & Evaluation) (2018-0-00192) | - |
dc.language | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Computer-aided diagnosis | - |
dc.subject | Deep learning | - |
dc.subject | Graph convolutional networks | - |
dc.title | Automatic Hepatocellular Carcinoma Diagnosis using Graph Convolutional Network | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/ICEIC54506.2022.9748503 | en_US |
dc.relation.journal | 2022 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC) | - |
dc.contributor.googleauthor | Kim, Yushin | - |
dc.contributor.googleauthor | Kim, Jaehyeon | - |
dc.contributor.googleauthor | Lee, Sejong | - |
dc.contributor.googleauthor | Ahn, Seyoung | - |
dc.contributor.googleauthor | Kim, Jonghun | - |
dc.contributor.googleauthor | Park, Sooyoung | - |
dc.contributor.googleauthor | Cho, Sunghyun | - |
dc.sector.campus | E | - |
dc.sector.daehak | 소프트웨어융합대학 | - |
dc.sector.department | 컴퓨터학부 | - |
dc.identifier.pid | chopro | - |
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