Using Combinational System of Machine Learning and Deep Learning to Detect Age-related Macular Degeneration

Ji, Jie YiJie YiJiYou, Hong YuHong YuYouWei, Hsu TingHsu TingWeiLiu, Yu HengYu HengLiuLin, Cheng HungCheng HungLinLu, Cheng KaiCheng KaiLuJIA-KANG WANGHuang, Tzu LunTzu LunHuang2024-01-202024-01-202022-01-019781665470506https://scholars.lib.ntu.edu.tw/handle/123456789/638706In this paper, a combinational system of machine learning (ML) and deep learning (DL) is proposed an age-related macular degeneration (AMD) detection. Achieving the low-complex advantage of the ML and combining it with the high accuracy of DL, the proposed MD-Flow archives a low data transmission. Using the 2-stage detection of MD-Flow, the accuracy is raised from 92.5% to 99.12% with 57.4% transmitted volumes.Using Combinational System of Machine Learning and Deep Learning to Detect Age-related Macular Degenerationconference paper10.1109/ICCE-Taiwan55306.2022.98692502-s2.0-85138754324https://api.elsevier.com/content/abstract/scopus_id/85138754324