Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 김태현 | - |
dc.contributor.author | 석영준 | - |
dc.date.accessioned | 2024-03-01T07:53:48Z | - |
dc.date.available | 2024-03-01T07:53:48Z | - |
dc.date.issued | 2024. 2 | - |
dc.identifier.uri | http://hanyang.dcollection.net/common/orgView/200000720191 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/188868 | - |
dc.description.abstract | The thoracic aorta, the largest artery in the heart, becomes the aorta, and the aneurysm in this area is called an abdominal aortic aneurysm. Abdominal aortic aneurysm is a very common disease in the elderly, and it is difficult to examine and diagnose the aortic aneurysm in advance because most of them do not have symptoms before the aortic aneurysm is ruptured. That is why early detection and appropriate treatment are important. There are various methods of diagnosing our body, such as X-rays, CT, and MRI. X-ray scans are relatively easy to examine and inexpensive compared to CT, so they are often used for early diagnosis. However, identifying abdominal aortic aneurysm on X-ray images requires specialized knowledge and effort, and it is difficult for even medical staff with limited recognition. In this paper, the Mixture of Experts methodology was applied to two types of X-ray images, the Supine and the Erections, and a more efficient method for diagnosing abdominal aortic aneurysms through various ablation studies was suggested. | - |
dc.publisher | 한양대학교 대학원 | - |
dc.title | Classification of Abdominal Aortic Aneurysm X-ray Images Using the Mixture of Experts Methodology | - |
dc.type | Theses | - |
dc.contributor.googleauthor | 석영준 | - |
dc.contributor.alternativeauthor | SEOK YOUNG JUN | - |
dc.sector.campus | S | - |
dc.sector.daehak | 대학원 | - |
dc.sector.department | 인공지능학과 | - |
dc.description.degree | Master | - |
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