Current Result Document :
| 한글제목(Korean Title) |
초광각 안저사진을 이용한 눈병 탐지 인공지능 모델의 성능 평가 |
| 영문제목(English Title) |
Performance Evaluation of Artificial Intelligence on Detecting Eyes Diseases Using Ultra-wide-field Images |
| 저자(Author) |
NGUYEN DUC TOAN
정경희
변규린
추현승NGUYEN DUC TOAN
정경희
변규린
추현승
Kyung-hee Jung
Gyu-rin Byun
Hyun-seung Choo
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| 원문수록처(Citation) |
VOL 49 NO. 01 PP. 1100 ~ 1102 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
With the development of deep learning, medical image analysis has been widely adopted with the combination with neural networks to achieve competitive results. As stated in World Health Organisation (WHO) website, vision impairment could affect young children in such a way that they would experience delayed motor, language, emotional, social and cognitive development and lifelong consequences. However, most of the cases related to visual impairment could be prevented by early diagnosis and treatment by a doctor with the help of the patients eyes’ scans. In this work, we investigate and make comparison of the most recent deep learning methods that perform in retinal fundus images. Our implementation shows promising results of 95% AUC on ResNet152. Moreover, we provide a generated heatmap and a sample output that could help doctors in this crucial task. |
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