AWS Public Sector Blog
Author: Kabilan Elangovan
Kabilan is an artificial intelligence (AI) research scientist at Singapore Health Services (SingHealth). His work revolves around the development of clinical screening tools using deep learning and the exploration of generative AI applications in healthcare. He is deeply engaged in the utilization of automated machine learning (AutoML) for clinical diagnosis.
Singapore Eye Research Institute categorizes retinal diseases using Amazon Rekognition
Amazon Rekognition, a code-free automated machine learning (AutoML) service from Amazon Web Services (AWS), showed impeccable diagnostic performance in categorizing various retinal diseases using optical coherence tomography (OCT) scans. This blog post details the steps to use Amazon Rekognition Custom Labels to train a model that categorizes retinal diseases and the process of training and fine-tuning convolutional neural networks (CNNs), the standard deep learning methodology.