blog_posts: 2658b00d28
This data as json
id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
---|---|---|---|---|---|---|---|---|---|
blog-posts#18-21543 | 2024-02-22 15:04:17 | Singapore Eye Research Institute categorizes retinal diseases using Amazon Rekognition | https://aws.amazon.com/blogs/publicsector/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. | https://d2908q01vomqb2.cloudfront.net/9e6a55b6b4563e652a23be9d623ca5055c356940/2024/02/20/SERI_header-300x150.png | 2658b00d28 | Kabilan Elangovan, Eugene Ng | 2024-02-22 15:04:17 | 22 Feb 2024 |
Links from other tables
- 21 rows from blog_post_hash in blog_post_tags