Natarajan, HimajahHimajahNatarajanJi, Jie YiJie YiJiSridharan, AadhitiyanAadhitiyanSridharanLin, Cheng HungCheng HungLinLu, Cheng KaiCheng KaiLuJIA-KANG WANGHuang, Tzu LunTzu LunHuang2024-01-192024-01-192023-01-019798350324174https://scholars.lib.ntu.edu.tw/handle/123456789/638652This paper presents the synthesis result of extreme learning machine (ELM), a machine learning technique, to detect age-related macular degeneration (AMD), an eye disease prevalent in elderly people. The model is trained with optical coherence tomography (OCT) images and a desirable clock period, area, and power is obtained. This is the first of its kind synthesis result of ELM implementation for AMD detection on OCT images.Age-related Macular Degeneration | Extreme Learning Machine | Optical Coherence Tomographyconference paper10.1109/ICCE-Taiwan58799.2023.102269202-s2.0-85174957709https://api.elsevier.com/content/abstract/scopus_id/85174957709