| 한글제목(Korean Title) |
초광역 안저 영상 강화를 통한 안저 자동 진단 개선 |
| 영문제목(English Title) |
Automatic Opthamology Diagnosis Improvement by Ultra-widefield Fundus Image Enhancement |
| 저자(Author) |
Pham Van Nguyen
김주찬
Duc-Tai Le
추현승
Pham Van Nguyen
JuChan Kim
Duc-Tai Le
Hyunseung Choo
|
| 원문수록처(Citation) |
VOL 23 NO. 01 PP. 0213 ~ 0214 (2022. 04) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
With an advantage of covering about 80% of the eyes, ultra-widefield fundus images (UFI) include peripheral lesions that cannot be observed in conventional fundus photography. Many research attempt to perform automatic diagnosis on UFI and they have to face with disadvantages of UFI such as low contrast and artifacts. In this work, we improve the diagnosis accuracy by enhancing UFI. We propose a method to extract nearby region of fovea where lesions of most diseases appear and perform diagnosis on this area. Experiment results state that the accuracy increases significantly compared to diagnosing directly with UFI. |
| 키워드(Keyword) |
|
| 파일첨부 |
PDF 다운로드
|
